�ݺ�ߣshows by User: ijdpsjournal

�ݺ�ߣshows by User: ijdpsjournal / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: ijdpsjournal / Wed, 04 Sep 2024 08:33:27 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: ijdpsjournal Call for Papers - 5th International conference on Big Data, Machine learning and Applications (BIGML 2024) /slideshow/call-for-papers-5th-international-conference-on-big-data-machine-learning-and-applications-bigml-2024/271553615 bigml20241-240904083327-2a802479
5th International conference on Big Data, Machine learning and Applications (BIGML 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Big data and Machine Learning. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.]]>
5th International conference on Big Data, Machine learning and Applications (BIGML 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Big data and Machine Learning. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.]]> Wed, 04 Sep 2024 08:33:27 GMT /slideshow/call-for-papers-5th-international-conference-on-big-data-machine-learning-and-applications-bigml-2024/271553615 ijdpsjournal@slideshare.net(ijdpsjournal) Call for Papers - 5th International conference on Big Data, Machine learning and Applications (BIGML 2024) ijdpsjournal 5th International conference on Big Data, Machine learning and Applications (BIGML 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Big data and Machine Learning. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/bigml20241-240904083327-2a802479-thumbnail.jpg?width=120&height=120&fit=bounds" /> 5th International conference on Big Data, Machine learning and Applications (BIGML 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Big data and Machine Learning. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.

Call for Papers - 5th International conference on Big Data, Machine learning and Applications (BIGML 2024) from ijdpsjournal

]]> 3 0 https://cdn.slidesharecdn.com/ss_thumbnails/bigml20241-240904083327-2a802479-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Call for Papers - 5th International Conference on Networks & IOT (NeTIOT 2024) /slideshow/call-for-papers-5th-international-conference-on-networks-iot-netiot-2024/271553588 netiot2024-240904083153-a687ad47
5th International Conference on Networks & IOT (NeTIOT 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Computer Networks & IOT. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field Authors are solicited to contribute to the Conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Computer Science & Technology. ]]>
5th International Conference on Networks & IOT (NeTIOT 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Computer Networks & IOT. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field Authors are solicited to contribute to the Conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Computer Science & Technology. ]]> Wed, 04 Sep 2024 08:31:53 GMT /slideshow/call-for-papers-5th-international-conference-on-networks-iot-netiot-2024/271553588 ijdpsjournal@slideshare.net(ijdpsjournal) Call for Papers - 5th International Conference on Networks & IOT (NeTIOT 2024) ijdpsjournal 5th International Conference on Networks & IOT (NeTIOT 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Computer Networks & IOT. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field Authors are solicited to contribute to the Conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Computer Science & Technology. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/netiot2024-240904083153-a687ad47-thumbnail.jpg?width=120&height=120&fit=bounds" /> 5th International Conference on Networks & IOT (NeTIOT 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Computer Networks & IOT. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field Authors are solicited to contribute to the Conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Computer Science & Technology.

Call for Papers - 5th International Conference on Networks & IOT (NeTIOT 2024) from ijdpsjournal

]]> 6 0 https://cdn.slidesharecdn.com/ss_thumbnails/netiot2024-240904083153-a687ad47-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Call for Papers - 5th International Conference on NLP & Big Data (NLPD 2024) /slideshow/call-for-papers-5th-international-conference-on-nlp-big-data-nlpd-2024/269622200 nlpd20241-240611105453-41a812d4
5th International Conference on NLP & Big Data (NLPD 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Natural Language Computing and Big data. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to these topics only. ]]>
5th International Conference on NLP & Big Data (NLPD 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Natural Language Computing and Big data. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to these topics only. ]]> Tue, 11 Jun 2024 10:54:53 GMT /slideshow/call-for-papers-5th-international-conference-on-nlp-big-data-nlpd-2024/269622200 ijdpsjournal@slideshare.net(ijdpsjournal) Call for Papers - 5th International Conference on NLP & Big Data (NLPD 2024) ijdpsjournal 5th International Conference on NLP & Big Data (NLPD 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Natural Language Computing and Big data. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to these topics only. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/nlpd20241-240611105453-41a812d4-thumbnail.jpg?width=120&height=120&fit=bounds" /> 5th International Conference on NLP & Big Data (NLPD 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Natural Language Computing and Big data. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to these topics only.

Call for Papers - 5th International Conference on NLP & Big Data (NLPD 2024) from ijdpsjournal

]]> 7 0 https://cdn.slidesharecdn.com/ss_thumbnails/nlpd20241-240611105453-41a812d4-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Call for Papers - International Journal of Distributed and Parallel systems (IJDPS) /slideshow/call-for-papers-international-journal-of-distributed-and-parallel-systems-ijdps-6c9e/269613976 ijdpscfp221-240611015349-e0c0d305
The growth of Internet and other web technologies requires the development of new algorithms and architectures for parallel and distributed computing. International journal of Distributed and parallel systems is a bi monthly open access peer-reviewed journal aims to publish high quality scientific papers arising from original research and development from the international community in the areas of parallel and distributed systems. IJDPS serves as a platform for engineers and researchers to present new ideas and system technology, with an interactive and friendly, but strongly professional atmosphere. ]]>
The growth of Internet and other web technologies requires the development of new algorithms and architectures for parallel and distributed computing. International journal of Distributed and parallel systems is a bi monthly open access peer-reviewed journal aims to publish high quality scientific papers arising from original research and development from the international community in the areas of parallel and distributed systems. IJDPS serves as a platform for engineers and researchers to present new ideas and system technology, with an interactive and friendly, but strongly professional atmosphere. ]]> Tue, 11 Jun 2024 01:53:49 GMT /slideshow/call-for-papers-international-journal-of-distributed-and-parallel-systems-ijdps-6c9e/269613976 ijdpsjournal@slideshare.net(ijdpsjournal) Call for Papers - International Journal of Distributed and Parallel systems (IJDPS) ijdpsjournal The growth of Internet and other web technologies requires the development of new algorithms and architectures for parallel and distributed computing. International journal of Distributed and parallel systems is a bi monthly open access peer-reviewed journal aims to publish high quality scientific papers arising from original research and development from the international community in the areas of parallel and distributed systems. IJDPS serves as a platform for engineers and researchers to present new ideas and system technology, with an interactive and friendly, but strongly professional atmosphere. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ijdpscfp221-240611015349-e0c0d305-thumbnail.jpg?width=120&height=120&fit=bounds" /> The growth of Internet and other web technologies requires the development of new algorithms and architectures for parallel and distributed computing. International journal of Distributed and parallel systems is a bi monthly open access peer-reviewed journal aims to publish high quality scientific papers arising from original research and development from the international community in the areas of parallel and distributed systems. IJDPS serves as a platform for engineers and researchers to present new ideas and system technology, with an interactive and friendly, but strongly professional atmosphere.

Call for Papers - International Journal of Distributed and Parallel systems (IJDPS) from ijdpsjournal

]]> 2 0 https://cdn.slidesharecdn.com/ss_thumbnails/ijdpscfp221-240611015349-e0c0d305-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 A SCALABLE MONITORING SYSTEM FOR SOFTWARE DEFINED NETWORKS /slideshow/a-scalable-monitoring-system-for-software-defined-networks/266215100 15124ijdps01-240208100132-5969934a
Monitoring functionality is an essential element of any network system. Traditional monitoring solutions are mostly used for manual and infrequent network management tasks. Software-defined networks (SDN) have emerged with enabled automatic and frequent network reconfigurations. In this paper, a scalable monitoring system for SDN is introduced. The proposed system monitors small, medium, and large-scale SDN. Multiple instances of the proposed monitoring system can run in parallel for monitoring many SDN slices. The introduced monitoring system receives requests from network management applications, collects considerable amounts of measurement data, processes them, and returns the resulting knowledge to the network management applications. The proposed monitoring system slices the network (switches and links) into multiple slices. The introduced monitoring system concurrently monitors applications for various tenants, with each tenant's application running on a dedicated network slice. Each slice is monitored by a separate copy of the proposed monitoring system. These copies operate in parallel and are synchronized. The scalability of the monitoring system is achieved by enhancing the performance of SDN. In this context, scalability is addressed by increasing the number of tenant applications and expanding the size of the physical network without compromising SDN performance.]]>
Monitoring functionality is an essential element of any network system. Traditional monitoring solutions are mostly used for manual and infrequent network management tasks. Software-defined networks (SDN) have emerged with enabled automatic and frequent network reconfigurations. In this paper, a scalable monitoring system for SDN is introduced. The proposed system monitors small, medium, and large-scale SDN. Multiple instances of the proposed monitoring system can run in parallel for monitoring many SDN slices. The introduced monitoring system receives requests from network management applications, collects considerable amounts of measurement data, processes them, and returns the resulting knowledge to the network management applications. The proposed monitoring system slices the network (switches and links) into multiple slices. The introduced monitoring system concurrently monitors applications for various tenants, with each tenant's application running on a dedicated network slice. Each slice is monitored by a separate copy of the proposed monitoring system. These copies operate in parallel and are synchronized. The scalability of the monitoring system is achieved by enhancing the performance of SDN. In this context, scalability is addressed by increasing the number of tenant applications and expanding the size of the physical network without compromising SDN performance.]]> Thu, 08 Feb 2024 10:01:32 GMT /slideshow/a-scalable-monitoring-system-for-software-defined-networks/266215100 ijdpsjournal@slideshare.net(ijdpsjournal) A SCALABLE MONITORING SYSTEM FOR SOFTWARE DEFINED NETWORKS ijdpsjournal Monitoring functionality is an essential element of any network system. Traditional monitoring solutions are mostly used for manual and infrequent network management tasks. Software-defined networks (SDN) have emerged with enabled automatic and frequent network reconfigurations. In this paper, a scalable monitoring system for SDN is introduced. The proposed system monitors small, medium, and large-scale SDN. Multiple instances of the proposed monitoring system can run in parallel for monitoring many SDN slices. The introduced monitoring system receives requests from network management applications, collects considerable amounts of measurement data, processes them, and returns the resulting knowledge to the network management applications. The proposed monitoring system slices the network (switches and links) into multiple slices. The introduced monitoring system concurrently monitors applications for various tenants, with each tenant's application running on a dedicated network slice. Each slice is monitored by a separate copy of the proposed monitoring system. These copies operate in parallel and are synchronized. The scalability of the monitoring system is achieved by enhancing the performance of SDN. In this context, scalability is addressed by increasing the number of tenant applications and expanding the size of the physical network without compromising SDN performance. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/15124ijdps01-240208100132-5969934a-thumbnail.jpg?width=120&height=120&fit=bounds" /> Monitoring functionality is an essential element of any network system. Traditional monitoring solutions are mostly used for manual and infrequent network management tasks. Software-defined networks (SDN) have emerged with enabled automatic and frequent network reconfigurations. In this paper, a scalable monitoring system for SDN is introduced. The proposed system monitors small, medium, and large-scale SDN. Multiple instances of the proposed monitoring system can run in parallel for monitoring many SDN slices. The introduced monitoring system receives requests from network management applications, collects considerable amounts of measurement data, processes them, and returns the resulting knowledge to the network management applications. The proposed monitoring system slices the network (switches and links) into multiple slices. The introduced monitoring system concurrently monitors applications for various tenants, with each tenant's application running on a dedicated network slice. Each slice is monitored by a separate copy of the proposed monitoring system. These copies operate in parallel and are synchronized. The scalability of the monitoring system is achieved by enhancing the performance of SDN. In this context, scalability is addressed by increasing the number of tenant applications and expanding the size of the physical network without compromising SDN performance.

A SCALABLE MONITORING SYSTEM FOR SOFTWARE DEFINED NETWORKS from ijdpsjournal

]]> 23 0 https://cdn.slidesharecdn.com/ss_thumbnails/15124ijdps01-240208100132-5969934a-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 International Journal of Control, Automation, Communication and Systems (IJCACS) /slideshow/international-journal-of-control-automation-communication-and-systems-ijcacs-80d2/264415746 ijcacs2-231207131605-8e2bea2d
The International Journal of Control, Automation, Communication and Systems (IJCACS) is an open access control journal that publishes articles which contribute new results in all areas of Control Engineering, Automation, Communication and Systems with focus on technical and practical aspects of Control Engineering and its Applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced control engineering, communication systems and automation concepts and establishing new collaborations in these areas. Authors are solicited to contribute to this journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the Control Engineering, Automation, Communication and Systems.]]>
The International Journal of Control, Automation, Communication and Systems (IJCACS) is an open access control journal that publishes articles which contribute new results in all areas of Control Engineering, Automation, Communication and Systems with focus on technical and practical aspects of Control Engineering and its Applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced control engineering, communication systems and automation concepts and establishing new collaborations in these areas. Authors are solicited to contribute to this journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the Control Engineering, Automation, Communication and Systems.]]> Thu, 07 Dec 2023 13:16:04 GMT /slideshow/international-journal-of-control-automation-communication-and-systems-ijcacs-80d2/264415746 ijdpsjournal@slideshare.net(ijdpsjournal) International Journal of Control, Automation, Communication and Systems (IJCACS) ijdpsjournal The International Journal of Control, Automation, Communication and Systems (IJCACS) is an open access control journal that publishes articles which contribute new results in all areas of Control Engineering, Automation, Communication and Systems with focus on technical and practical aspects of Control Engineering and its Applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced control engineering, communication systems and automation concepts and establishing new collaborations in these areas. Authors are solicited to contribute to this journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the Control Engineering, Automation, Communication and Systems. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ijcacs2-231207131605-8e2bea2d-thumbnail.jpg?width=120&height=120&fit=bounds" /> The International Journal of Control, Automation, Communication and Systems (IJCACS) is an open access control journal that publishes articles which contribute new results in all areas of Control Engineering, Automation, Communication and Systems with focus on technical and practical aspects of Control Engineering and its Applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced control engineering, communication systems and automation concepts and establishing new collaborations in these areas. Authors are solicited to contribute to this journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the Control Engineering, Automation, Communication and Systems.

International Journal of Control, Automation, Communication and Systems (IJCACS) from ijdpsjournal

]]> 6 0 https://cdn.slidesharecdn.com/ss_thumbnails/ijcacs2-231207131605-8e2bea2d-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 International Conference on Computational Science & Applications (COMSAP 2023) /slideshow/international-conference-on-computational-science-applications-comsap-2023-558f/264400074 comsapcfp4-231207081718-9c21beb1
International Conference on Computational Science & Applications (COMSAP 2023) Computational science is interdisciplinary fields in which mathematical models are combined with scientific computing methods to study of a wide range of problems in science and engineering. Modelling and simulation tools find increasing applications not only in fundamental research, but also in real-world design and industry applications.The goal of this conference is to bring together researchers and practitioners from academia and industry to focus on understanding modern Computationalresearch trends and applications to establishing new collaborations in these areas.]]>
International Conference on Computational Science & Applications (COMSAP 2023) Computational science is interdisciplinary fields in which mathematical models are combined with scientific computing methods to study of a wide range of problems in science and engineering. Modelling and simulation tools find increasing applications not only in fundamental research, but also in real-world design and industry applications.The goal of this conference is to bring together researchers and practitioners from academia and industry to focus on understanding modern Computationalresearch trends and applications to establishing new collaborations in these areas.]]> Thu, 07 Dec 2023 08:17:18 GMT /slideshow/international-conference-on-computational-science-applications-comsap-2023-558f/264400074 ijdpsjournal@slideshare.net(ijdpsjournal) International Conference on Computational Science & Applications (COMSAP 2023) ijdpsjournal International Conference on Computational Science & Applications (COMSAP 2023) Computational science is interdisciplinary fields in which mathematical models are combined with scientific computing methods to study of a wide range of problems in science and engineering. Modelling and simulation tools find increasing applications not only in fundamental research, but also in real-world design and industry applications.The goal of this conference is to bring together researchers and practitioners from academia and industry to focus on understanding modern Computationalresearch trends and applications to establishing new collaborations in these areas. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/comsapcfp4-231207081718-9c21beb1-thumbnail.jpg?width=120&height=120&fit=bounds" /> International Conference on Computational Science & Applications (COMSAP 2023) Computational science is interdisciplinary fields in which mathematical models are combined with scientific computing methods to study of a wide range of problems in science and engineering. Modelling and simulation tools find increasing applications not only in fundamental research, but also in real-world design and industry applications.The goal of this conference is to bring together researchers and practitioners from academia and industry to focus on understanding modern Computationalresearch trends and applications to establishing new collaborations in these areas.

International Conference on Computational Science & Applications (COMSAP 2023) from ijdpsjournal

]]> 4 0 https://cdn.slidesharecdn.com/ss_thumbnails/comsapcfp4-231207081718-9c21beb1-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 WRITE BUFFER PARTITIONING WITH RENAME REGISTER CAPPING IN MULTITHREADED CORES /slideshow/write-buffer-partitioning-with-rename-register-capping-in-multithreaded-cores/264310610 14623ijdps03-231205095002-76f067b6
In simultaneous multithreaded systems, there are several pipeline resources that are shared amongst multiple threads concurrently. Some of these mutual resources to mention are the register-file and the write buffer. The Physical Register file is a critical shared resource in these types of systems due to the limited number of rename registers available for renaming. The write buffer, another shared resource, is also crucial since it serves as an intermediary between the retirement of a store instruction and the writing of its value to cache. Both components, if not configured accurately, can serve as a bottleneck in inefficient usage of the resources and output undesirable performance. However, when configuring both shared components concurrently, there is potential to all eviate common performance congestion. This paper shows that when implementing a static register capping algorithm (limiting the number of physical register entries for each thread), there is a byproduct of increased variety in source for the write buffer. This also presents an opportunity for the write buffer to have a higher variety to potentially choose for a better suitable thread asit’s source at certain clock cycles. With this presented opportunity, this paper proposes a technique to allow the write buffer to both prioritize and enforce the choice for low-latency threads by partitioning the write buffer in two sections; cache-hit priority and cachehit only partitions, showing that system performance and resource efficiency can be further improved by using this technique in a modified SMT environment. ]]>
In simultaneous multithreaded systems, there are several pipeline resources that are shared amongst multiple threads concurrently. Some of these mutual resources to mention are the register-file and the write buffer. The Physical Register file is a critical shared resource in these types of systems due to the limited number of rename registers available for renaming. The write buffer, another shared resource, is also crucial since it serves as an intermediary between the retirement of a store instruction and the writing of its value to cache. Both components, if not configured accurately, can serve as a bottleneck in inefficient usage of the resources and output undesirable performance. However, when configuring both shared components concurrently, there is potential to all eviate common performance congestion. This paper shows that when implementing a static register capping algorithm (limiting the number of physical register entries for each thread), there is a byproduct of increased variety in source for the write buffer. This also presents an opportunity for the write buffer to have a higher variety to potentially choose for a better suitable thread asit’s source at certain clock cycles. With this presented opportunity, this paper proposes a technique to allow the write buffer to both prioritize and enforce the choice for low-latency threads by partitioning the write buffer in two sections; cache-hit priority and cachehit only partitions, showing that system performance and resource efficiency can be further improved by using this technique in a modified SMT environment. ]]> Tue, 05 Dec 2023 09:50:02 GMT /slideshow/write-buffer-partitioning-with-rename-register-capping-in-multithreaded-cores/264310610 ijdpsjournal@slideshare.net(ijdpsjournal) WRITE BUFFER PARTITIONING WITH RENAME REGISTER CAPPING IN MULTITHREADED CORES ijdpsjournal In simultaneous multithreaded systems, there are several pipeline resources that are shared amongst multiple threads concurrently. Some of these mutual resources to mention are the register-file and the write buffer. The Physical Register file is a critical shared resource in these types of systems due to the limited number of rename registers available for renaming. The write buffer, another shared resource, is also crucial since it serves as an intermediary between the retirement of a store instruction and the writing of its value to cache. Both components, if not configured accurately, can serve as a bottleneck in inefficient usage of the resources and output undesirable performance. However, when configuring both shared components concurrently, there is potential to all eviate common performance congestion. This paper shows that when implementing a static register capping algorithm (limiting the number of physical register entries for each thread), there is a byproduct of increased variety in source for the write buffer. This also presents an opportunity for the write buffer to have a higher variety to potentially choose for a better suitable thread asit’s source at certain clock cycles. With this presented opportunity, this paper proposes a technique to allow the write buffer to both prioritize and enforce the choice for low-latency threads by partitioning the write buffer in two sections; cache-hit priority and cachehit only partitions, showing that system performance and resource efficiency can be further improved by using this technique in a modified SMT environment. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/14623ijdps03-231205095002-76f067b6-thumbnail.jpg?width=120&height=120&fit=bounds" /> In simultaneous multithreaded systems, there are several pipeline resources that are shared amongst multiple threads concurrently. Some of these mutual resources to mention are the register-file and the write buffer. The Physical Register file is a critical shared resource in these types of systems due to the limited number of rename registers available for renaming. The write buffer, another shared resource, is also crucial since it serves as an intermediary between the retirement of a store instruction and the writing of its value to cache. Both components, if not configured accurately, can serve as a bottleneck in inefficient usage of the resources and output undesirable performance. However, when configuring both shared components concurrently, there is potential to all eviate common performance congestion. This paper shows that when implementing a static register capping algorithm (limiting the number of physical register entries for each thread), there is a byproduct of increased variety in source for the write buffer. This also presents an opportunity for the write buffer to have a higher variety to potentially choose for a better suitable thread asit’s source at certain clock cycles. With this presented opportunity, this paper proposes a technique to allow the write buffer to both prioritize and enforce the choice for low-latency threads by partitioning the write buffer in two sections; cache-hit priority and cachehit only partitions, showing that system performance and resource efficiency can be further improved by using this technique in a modified SMT environment.

WRITE BUFFER PARTITIONING WITH RENAME REGISTER CAPPING IN MULTITHREADED CORES from ijdpsjournal

]]> 4 0 https://cdn.slidesharecdn.com/ss_thumbnails/14623ijdps03-231205095002-76f067b6-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 LOAD BALANCING IN THE COMBINED TECHNOLOGY OF LI-FI AND WI-FI BASED ON COLLABORATIVE GAME /slideshow/load-balancing-in-the-combined-technology-of-lifi-and-wifi-based-on-collaborative-game/264310571 14623ijdps02-231205094856-a2073d0b
Wireless networks have become increasingly important in today's digital age. The combination of VLC and RF technologies, such as local Wi-Fi and Li-Fi networks, has emerged as a significant technology in this field. This combination enhances the coverage of weak points and strengthens the strong points of local wireless networks, resulting in higher data rates and increased coverage. However, load balancing is a crucial issue that can enhance network efficiency, especially when there are multiple access points from both networks. The selection of the appropriate access point at any given time by different nodes can significantly impact network performance. This research proposes a game theory-based method for selecting an appropriate access point, which uses multiple stages of computation and policy changes to achieve a Nash equilibrium in the game and subsequently in the network. The results show that this method can improve the quality of service in the local network by over 6% compared to previous methods such as the fuzzy method and by over 20% compared to the higher signal power selection policy. ]]>
Wireless networks have become increasingly important in today's digital age. The combination of VLC and RF technologies, such as local Wi-Fi and Li-Fi networks, has emerged as a significant technology in this field. This combination enhances the coverage of weak points and strengthens the strong points of local wireless networks, resulting in higher data rates and increased coverage. However, load balancing is a crucial issue that can enhance network efficiency, especially when there are multiple access points from both networks. The selection of the appropriate access point at any given time by different nodes can significantly impact network performance. This research proposes a game theory-based method for selecting an appropriate access point, which uses multiple stages of computation and policy changes to achieve a Nash equilibrium in the game and subsequently in the network. The results show that this method can improve the quality of service in the local network by over 6% compared to previous methods such as the fuzzy method and by over 20% compared to the higher signal power selection policy. ]]> Tue, 05 Dec 2023 09:48:56 GMT /slideshow/load-balancing-in-the-combined-technology-of-lifi-and-wifi-based-on-collaborative-game/264310571 ijdpsjournal@slideshare.net(ijdpsjournal) LOAD BALANCING IN THE COMBINED TECHNOLOGY OF LI-FI AND WI-FI BASED ON COLLABORATIVE GAME ijdpsjournal Wireless networks have become increasingly important in today's digital age. The combination of VLC and RF technologies, such as local Wi-Fi and Li-Fi networks, has emerged as a significant technology in this field. This combination enhances the coverage of weak points and strengthens the strong points of local wireless networks, resulting in higher data rates and increased coverage. However, load balancing is a crucial issue that can enhance network efficiency, especially when there are multiple access points from both networks. The selection of the appropriate access point at any given time by different nodes can significantly impact network performance. This research proposes a game theory-based method for selecting an appropriate access point, which uses multiple stages of computation and policy changes to achieve a Nash equilibrium in the game and subsequently in the network. The results show that this method can improve the quality of service in the local network by over 6% compared to previous methods such as the fuzzy method and by over 20% compared to the higher signal power selection policy. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/14623ijdps02-231205094856-a2073d0b-thumbnail.jpg?width=120&height=120&fit=bounds" /> Wireless networks have become increasingly important in today's digital age. The combination of VLC and RF technologies, such as local Wi-Fi and Li-Fi networks, has emerged as a significant technology in this field. This combination enhances the coverage of weak points and strengthens the strong points of local wireless networks, resulting in higher data rates and increased coverage. However, load balancing is a crucial issue that can enhance network efficiency, especially when there are multiple access points from both networks. The selection of the appropriate access point at any given time by different nodes can significantly impact network performance. This research proposes a game theory-based method for selecting an appropriate access point, which uses multiple stages of computation and policy changes to achieve a Nash equilibrium in the game and subsequently in the network. The results show that this method can improve the quality of service in the local network by over 6% compared to previous methods such as the fuzzy method and by over 20% compared to the higher signal power selection policy.

LOAD BALANCING IN THE COMBINED TECHNOLOGY OF LI-FI AND WI-FI BASED ON COLLABORATIVE GAME from ijdpsjournal

]]> 19 0 https://cdn.slidesharecdn.com/ss_thumbnails/14623ijdps02-231205094856-a2073d0b-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 LOAD BALANCING LARGE DATA SETS IN A HADOOP CLUSTER /slideshow/load-balancing-large-data-sets-in-a-hadoop-cluster/264310493 14623ijdps01-231205094731-39d947c8
With the interconnection of one to many computers online, the data shared by users is multiplying daily. As a result, the amount of data to be processed by dedicated servers rises very quickly. However, the instantaneous increase in the volume of data to be processed by the server comes up against latency during processing. This requires a model to manage the distribution of tasks across several machines. This article presents a study of load balancing for large data sets on a cluster of Hadoop nodes. In this paper, we use Mapreduce to implement parallel programming and Yarn to monitor task execution and submission in a node cluster.]]>
With the interconnection of one to many computers online, the data shared by users is multiplying daily. As a result, the amount of data to be processed by dedicated servers rises very quickly. However, the instantaneous increase in the volume of data to be processed by the server comes up against latency during processing. This requires a model to manage the distribution of tasks across several machines. This article presents a study of load balancing for large data sets on a cluster of Hadoop nodes. In this paper, we use Mapreduce to implement parallel programming and Yarn to monitor task execution and submission in a node cluster.]]> Tue, 05 Dec 2023 09:47:30 GMT /slideshow/load-balancing-large-data-sets-in-a-hadoop-cluster/264310493 ijdpsjournal@slideshare.net(ijdpsjournal) LOAD BALANCING LARGE DATA SETS IN A HADOOP CLUSTER ijdpsjournal With the interconnection of one to many computers online, the data shared by users is multiplying daily. As a result, the amount of data to be processed by dedicated servers rises very quickly. However, the instantaneous increase in the volume of data to be processed by the server comes up against latency during processing. This requires a model to manage the distribution of tasks across several machines. This article presents a study of load balancing for large data sets on a cluster of Hadoop nodes. In this paper, we use Mapreduce to implement parallel programming and Yarn to monitor task execution and submission in a node cluster. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/14623ijdps01-231205094731-39d947c8-thumbnail.jpg?width=120&height=120&fit=bounds" /> With the interconnection of one to many computers online, the data shared by users is multiplying daily. As a result, the amount of data to be processed by dedicated servers rises very quickly. However, the instantaneous increase in the volume of data to be processed by the server comes up against latency during processing. This requires a model to manage the distribution of tasks across several machines. This article presents a study of load balancing for large data sets on a cluster of Hadoop nodes. In this paper, we use Mapreduce to implement parallel programming and Yarn to monitor task execution and submission in a node cluster.

LOAD BALANCING LARGE DATA SETS IN A HADOOP CLUSTER from ijdpsjournal

]]> 17 0 https://cdn.slidesharecdn.com/ss_thumbnails/14623ijdps01-231205094731-39d947c8-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Optimal Performance Analysis Enabling OSPF and BGP in Internal and External WAN /slideshow/optimal-performance-analysis-enabling-ospf-and-bgp-in-internal-and-external-wan/264116037 1116ijcacs01-231130122644-14707e4a
Routing 1protocols determines the shortest path to transfer the data from one host to another and specify how communication takes place between each routers. There are different classes of routing protocols are available in different environments such as intra and inter Autonomous System (AS).A routing protocol can be static or dynamic as well as link state and path vector. We will focus on Open Shortest Path First (OSPF) and Border Gateway Protocol (BGP), OSPF and BGP protocols are dynamic in nature. BGP is an inter-autonomous system routing protocol and OSPF is an intra-a utonomous system routing protocol. We can analyze the performance of Wide Area Network (WAN) by enabling the Interior Gateway Protocol (IGP) and Exterior Gateway Protocol (EGP) of the network and ensure the Quality of Service (QoS).]]>
Routing 1protocols determines the shortest path to transfer the data from one host to another and specify how communication takes place between each routers. There are different classes of routing protocols are available in different environments such as intra and inter Autonomous System (AS).A routing protocol can be static or dynamic as well as link state and path vector. We will focus on Open Shortest Path First (OSPF) and Border Gateway Protocol (BGP), OSPF and BGP protocols are dynamic in nature. BGP is an inter-autonomous system routing protocol and OSPF is an intra-a utonomous system routing protocol. We can analyze the performance of Wide Area Network (WAN) by enabling the Interior Gateway Protocol (IGP) and Exterior Gateway Protocol (EGP) of the network and ensure the Quality of Service (QoS).]]> Thu, 30 Nov 2023 12:26:43 GMT /slideshow/optimal-performance-analysis-enabling-ospf-and-bgp-in-internal-and-external-wan/264116037 ijdpsjournal@slideshare.net(ijdpsjournal) Optimal Performance Analysis Enabling OSPF and BGP in Internal and External WAN ijdpsjournal Routing 1protocols determines the shortest path to transfer the data from one host to another and specify how communication takes place between each routers. There are different classes of routing protocols are available in different environments such as intra and inter Autonomous System (AS).A routing protocol can be static or dynamic as well as link state and path vector. We will focus on Open Shortest Path First (OSPF) and Border Gateway Protocol (BGP), OSPF and BGP protocols are dynamic in nature. BGP is an inter-autonomous system routing protocol and OSPF is an intra-a utonomous system routing protocol. We can analyze the performance of Wide Area Network (WAN) by enabling the Interior Gateway Protocol (IGP) and Exterior Gateway Protocol (EGP) of the network and ensure the Quality of Service (QoS). <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/1116ijcacs01-231130122644-14707e4a-thumbnail.jpg?width=120&height=120&fit=bounds" /> Routing 1protocols determines the shortest path to transfer the data from one host to another and specify how communication takes place between each routers. There are different classes of routing protocols are available in different environments such as intra and inter Autonomous System (AS).A routing protocol can be static or dynamic as well as link state and path vector. We will focus on Open Shortest Path First (OSPF) and Border Gateway Protocol (BGP), OSPF and BGP protocols are dynamic in nature. BGP is an inter-autonomous system routing protocol and OSPF is an intra-a utonomous system routing protocol. We can analyze the performance of Wide Area Network (WAN) by enabling the Interior Gateway Protocol (IGP) and Exterior Gateway Protocol (EGP) of the network and ensure the Quality of Service (QoS).

Optimal Performance Analysis Enabling OSPF and BGP in Internal and External WAN from ijdpsjournal

]]> 11 0 https://cdn.slidesharecdn.com/ss_thumbnails/1116ijcacs01-231130122644-14707e4a-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 WORKING PRINCIPLE OF ARDUINO AND USING IT AS A TOOL FOR STUDY AND RESEARCH /slideshow/working-principle-of-arduino-and-using-it-as-a-tool-for-study-and-research/263766121 ijcacspaper-231122124734-72b528f8
This paper explores the working principle and applications of an Arduino board. This also explores on how it can be used as a tool for study and research works. Arduino board can provide a quick tool in development of VLSI test bench especially of sensors. Main advantages are fast processing and easy interface. Today, with increasing number of people using open source software and hardware devices day after day, technology is forming a new dimension by making complicated things look easier and interesting. These open sources provide free or virtually low costs, highly reliable and affordable technology. This paper provides a glimpse of type of Arduino boards, working principles, software implementation and their applications.]]>
This paper explores the working principle and applications of an Arduino board. This also explores on how it can be used as a tool for study and research works. Arduino board can provide a quick tool in development of VLSI test bench especially of sensors. Main advantages are fast processing and easy interface. Today, with increasing number of people using open source software and hardware devices day after day, technology is forming a new dimension by making complicated things look easier and interesting. These open sources provide free or virtually low costs, highly reliable and affordable technology. This paper provides a glimpse of type of Arduino boards, working principles, software implementation and their applications.]]> Wed, 22 Nov 2023 12:47:34 GMT /slideshow/working-principle-of-arduino-and-using-it-as-a-tool-for-study-and-research/263766121 ijdpsjournal@slideshare.net(ijdpsjournal) WORKING PRINCIPLE OF ARDUINO AND USING IT AS A TOOL FOR STUDY AND RESEARCH ijdpsjournal This paper explores the working principle and applications of an Arduino board. This also explores on how it can be used as a tool for study and research works. Arduino board can provide a quick tool in development of VLSI test bench especially of sensors. Main advantages are fast processing and easy interface. Today, with increasing number of people using open source software and hardware devices day after day, technology is forming a new dimension by making complicated things look easier and interesting. These open sources provide free or virtually low costs, highly reliable and affordable technology. This paper provides a glimpse of type of Arduino boards, working principles, software implementation and their applications. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ijcacspaper-231122124734-72b528f8-thumbnail.jpg?width=120&height=120&fit=bounds" /> This paper explores the working principle and applications of an Arduino board. This also explores on how it can be used as a tool for study and research works. Arduino board can provide a quick tool in development of VLSI test bench especially of sensors. Main advantages are fast processing and easy interface. Today, with increasing number of people using open source software and hardware devices day after day, technology is forming a new dimension by making complicated things look easier and interesting. These open sources provide free or virtually low costs, highly reliable and affordable technology. This paper provides a glimpse of type of Arduino boards, working principles, software implementation and their applications.

WORKING PRINCIPLE OF ARDUINO AND USING IT AS A TOOL FOR STUDY AND RESEARCH from ijdpsjournal

]]> 265 0 https://cdn.slidesharecdn.com/ss_thumbnails/ijcacspaper-231122124734-72b528f8-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 International Conference on Computational Science & Applications (COMSAP 2023) /slideshow/international-conference-on-computational-science-applications-comsap-2023-9664/263187031 comsapcfp2-231108082610-f2d598a0
International Conference on Computational Science & Applications (COMSAP 2023) Computational science is interdisciplinary fields in which mathematical models are combined with scientific computing methods to study of a wide range of problems in science and engineering. Modelling and simulation tools find increasing applications not only in fundamental research, but also in real-world design and industry applications.The goal of this conference is to bring together researchers and practitioners from academia and industry to focus on understanding modern Computationalresearch trends and applications to establishing new collaborations in these areas.]]>
International Conference on Computational Science & Applications (COMSAP 2023) Computational science is interdisciplinary fields in which mathematical models are combined with scientific computing methods to study of a wide range of problems in science and engineering. Modelling and simulation tools find increasing applications not only in fundamental research, but also in real-world design and industry applications.The goal of this conference is to bring together researchers and practitioners from academia and industry to focus on understanding modern Computationalresearch trends and applications to establishing new collaborations in these areas.]]> Wed, 08 Nov 2023 08:26:10 GMT /slideshow/international-conference-on-computational-science-applications-comsap-2023-9664/263187031 ijdpsjournal@slideshare.net(ijdpsjournal) International Conference on Computational Science & Applications (COMSAP 2023) ijdpsjournal International Conference on Computational Science & Applications (COMSAP 2023) Computational science is interdisciplinary fields in which mathematical models are combined with scientific computing methods to study of a wide range of problems in science and engineering. Modelling and simulation tools find increasing applications not only in fundamental research, but also in real-world design and industry applications.The goal of this conference is to bring together researchers and practitioners from academia and industry to focus on understanding modern Computationalresearch trends and applications to establishing new collaborations in these areas. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/comsapcfp2-231108082610-f2d598a0-thumbnail.jpg?width=120&height=120&fit=bounds" /> International Conference on Computational Science & Applications (COMSAP 2023) Computational science is interdisciplinary fields in which mathematical models are combined with scientific computing methods to study of a wide range of problems in science and engineering. Modelling and simulation tools find increasing applications not only in fundamental research, but also in real-world design and industry applications.The goal of this conference is to bring together researchers and practitioners from academia and industry to focus on understanding modern Computationalresearch trends and applications to establishing new collaborations in these areas.

International Conference on Computational Science & Applications (COMSAP 2023) from ijdpsjournal

]]> 2 0 https://cdn.slidesharecdn.com/ss_thumbnails/comsapcfp2-231108082610-f2d598a0-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 4th International Conference on NLP Techniques and Applications (NLPTA 2023) /slideshow/4th-international-conference-on-nlp-techniques-and-applications-nlpta-2023/263186912 nlptacfp4-231108082224-55ef8113
4th International Conference on NLP Techniques and Applications (NLPTA 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Natural Language Processing.]]>
4th International Conference on NLP Techniques and Applications (NLPTA 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Natural Language Processing.]]> Wed, 08 Nov 2023 08:22:24 GMT /slideshow/4th-international-conference-on-nlp-techniques-and-applications-nlpta-2023/263186912 ijdpsjournal@slideshare.net(ijdpsjournal) 4th International Conference on NLP Techniques and Applications (NLPTA 2023) ijdpsjournal 4th International Conference on NLP Techniques and Applications (NLPTA 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Natural Language Processing. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/nlptacfp4-231108082224-55ef8113-thumbnail.jpg?width=120&height=120&fit=bounds" /> 4th International Conference on NLP Techniques and Applications (NLPTA 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Natural Language Processing.

4th International Conference on NLP Techniques and Applications (NLPTA 2023) from ijdpsjournal

]]> 13 0 https://cdn.slidesharecdn.com/ss_thumbnails/nlptacfp4-231108082224-55ef8113-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 International Conference on Computational Science & Applications (COMSAP 2023) /slideshow/international-conference-on-computational-science-applications-comsap-2023/262984870 comsapcfp1-231102103511-bb6f97b7
International Conference on Computational Science & Applications (COMSAP 2023) Computational science is interdisciplinary fields in which mathematical models are combined with scientific computing methods to study of a wide range of problems in science and engineering. Modelling and simulation tools find increasing applications not only in fundamental research, but also in real-world design and industry applications.The goal of this conference is to bring together researchers and practitioners from academia and industry to focus on understanding modern Computational research trends and applications to establishing new collaborations in these areas.]]>
International Conference on Computational Science & Applications (COMSAP 2023) Computational science is interdisciplinary fields in which mathematical models are combined with scientific computing methods to study of a wide range of problems in science and engineering. Modelling and simulation tools find increasing applications not only in fundamental research, but also in real-world design and industry applications.The goal of this conference is to bring together researchers and practitioners from academia and industry to focus on understanding modern Computational research trends and applications to establishing new collaborations in these areas.]]> Thu, 02 Nov 2023 10:35:10 GMT /slideshow/international-conference-on-computational-science-applications-comsap-2023/262984870 ijdpsjournal@slideshare.net(ijdpsjournal) International Conference on Computational Science & Applications (COMSAP 2023) ijdpsjournal International Conference on Computational Science & Applications (COMSAP 2023) Computational science is interdisciplinary fields in which mathematical models are combined with scientific computing methods to study of a wide range of problems in science and engineering. Modelling and simulation tools find increasing applications not only in fundamental research, but also in real-world design and industry applications.The goal of this conference is to bring together researchers and practitioners from academia and industry to focus on understanding modern Computational research trends and applications to establishing new collaborations in these areas. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/comsapcfp1-231102103511-bb6f97b7-thumbnail.jpg?width=120&height=120&fit=bounds" /> International Conference on Computational Science & Applications (COMSAP 2023) Computational science is interdisciplinary fields in which mathematical models are combined with scientific computing methods to study of a wide range of problems in science and engineering. Modelling and simulation tools find increasing applications not only in fundamental research, but also in real-world design and industry applications.The goal of this conference is to bring together researchers and practitioners from academia and industry to focus on understanding modern Computational research trends and applications to establishing new collaborations in these areas.

International Conference on Computational Science & Applications (COMSAP 2023) from ijdpsjournal

]]> 8 0 https://cdn.slidesharecdn.com/ss_thumbnails/comsapcfp1-231102103511-bb6f97b7-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 IJDPS CFP.pdf /slideshow/ijdps-cfppdf/259209307 ijdpscfp-230714110638-a35e61e1
#theoryofparallel/distributedcomputing #parallelalgorithmsandtheirimplementation #wirelessnetworksandprotocols #mobilecomputing #formalmethodsandprogramminglanguages #webtechnologies #agentsystemsintelligentcomputing #applicationsautonomicnetworksandcommunications #cognitivewirelesssensornetwork #contextawareness #socialsensingandinference #datamanagement #dependable, reliable #autonomic computing #embeddedsystems #software #emergingnetworking, tracking #sensingtechnologies #ergonomicsandproductprototyping #healthcaressystems #intelligent and self-organizing transportation networks & services #multimediaandsocialcomputing Call For Paper.....!! International Journal of Distributed and Parallel systems (IJDPS) ISSN : 0976 - 9757 [Online] ; 2229 - 3957 [Print] Web Page URL:http://airccse.org/journal/ijdps/ijdps.html Submission URL:https://airccse.com/submissioncs/home.html Contact Us: ijdpsjournal@aircconline.com]]>
#theoryofparallel/distributedcomputing #parallelalgorithmsandtheirimplementation #wirelessnetworksandprotocols #mobilecomputing #formalmethodsandprogramminglanguages #webtechnologies #agentsystemsintelligentcomputing #applicationsautonomicnetworksandcommunications #cognitivewirelesssensornetwork #contextawareness #socialsensingandinference #datamanagement #dependable, reliable #autonomic computing #embeddedsystems #software #emergingnetworking, tracking #sensingtechnologies #ergonomicsandproductprototyping #healthcaressystems #intelligent and self-organizing transportation networks & services #multimediaandsocialcomputing Call For Paper.....!! International Journal of Distributed and Parallel systems (IJDPS) ISSN : 0976 - 9757 [Online] ; 2229 - 3957 [Print] Web Page URL:http://airccse.org/journal/ijdps/ijdps.html Submission URL:https://airccse.com/submissioncs/home.html Contact Us: ijdpsjournal@aircconline.com]]> Fri, 14 Jul 2023 11:06:38 GMT /slideshow/ijdps-cfppdf/259209307 ijdpsjournal@slideshare.net(ijdpsjournal) IJDPS CFP.pdf ijdpsjournal #theoryofparallel/distributedcomputing #parallelalgorithmsandtheirimplementation #wirelessnetworksandprotocols #mobilecomputing #formalmethodsandprogramminglanguages #webtechnologies #agentsystemsintelligentcomputing #applicationsautonomicnetworksandcommunications #cognitivewirelesssensornetwork #contextawareness #socialsensingandinference #datamanagement #dependable, reliable #autonomic computing #embeddedsystems #software #emergingnetworking, tracking #sensingtechnologies #ergonomicsandproductprototyping #healthcaressystems #intelligent and self-organizing transportation networks & services #multimediaandsocialcomputing Call For Paper.....!! International Journal of Distributed and Parallel systems (IJDPS) ISSN : 0976 - 9757 [Online] ; 2229 - 3957 [Print] Web Page URL:http://airccse.org/journal/ijdps/ijdps.html Submission URL:https://airccse.com/submissioncs/home.html Contact Us: ijdpsjournal@aircconline.com <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ijdpscfp-230714110638-a35e61e1-thumbnail.jpg?width=120&height=120&fit=bounds" /> #theoryofparallel/distributedcomputing #parallelalgorithmsandtheirimplementation #wirelessnetworksandprotocols #mobilecomputing #formalmethodsandprogramminglanguages #webtechnologies #agentsystemsintelligentcomputing #applicationsautonomicnetworksandcommunications #cognitivewirelesssensornetwork #contextawareness #socialsensingandinference #datamanagement #dependable, reliable #autonomic computing #embeddedsystems #software #emergingnetworking, tracking #sensingtechnologies #ergonomicsandproductprototyping #healthcaressystems #intelligent and self-organizing transportation networks & services #multimediaandsocialcomputing Call For Paper.....!! International Journal of Distributed and Parallel systems (IJDPS) ISSN : 0976 - 9757 [Online] ; 2229 - 3957 [Print] Web Page URL:http://airccse.org/journal/ijdps/ijdps.html Submission URL:https://airccse.com/submissioncs/home.html Contact Us: ijdpsjournal@aircconline.com

IJDPS CFP.pdf from ijdpsjournal

]]> 4 0 https://cdn.slidesharecdn.com/ss_thumbnails/ijdpscfp-230714110638-a35e61e1-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 ADVANCED DIFFUSION APPROACH TO DYNAMIC LOAD-BALANCING FOR CLOUD STORAGE /slideshow/advanced-diffusion-approach-to-dynamic-loadbalancing-for-cloud-storage-258699171/258699171 ijdps6-230628134119-dbdf77d3
Load-balancing techniques have become a critical function in cloud storage systems that consist of complex heterogeneous networks of nodes with different capacities. However, the convergence rate of any load-balancing algorithm as well as its performance deteriorated as the number of nodes in the system, the diameter of the network and the communication overhead increased. Therefore, this paper presents an approach aims at scaling the system out not up - in other words, allowing the system to be expanded by adding more nodes without the need to increase the power of each node while at the same time increasing the overall performance of the system. Also, our proposal aims at improving the performance by not only considering the parameters that will affect the algorithm performance but also simplifying the structure of the network that will execute the algorithm. Our proposal was evaluated through mathematical analysis as well as computer simulations, and it was compared with the centralized approach and the original diffusion technique. Results show that our solution outperforms them in terms of throughput and response time. Finally, we proved that our proposal converges to the state of equilibrium where the loads in all in-domain nodes are the same since each node receives an amount of load proportional to its capacity. Therefore, we conclude that this approach would have an advantage of being fair, simple and no node is privileged.]]>
Load-balancing techniques have become a critical function in cloud storage systems that consist of complex heterogeneous networks of nodes with different capacities. However, the convergence rate of any load-balancing algorithm as well as its performance deteriorated as the number of nodes in the system, the diameter of the network and the communication overhead increased. Therefore, this paper presents an approach aims at scaling the system out not up - in other words, allowing the system to be expanded by adding more nodes without the need to increase the power of each node while at the same time increasing the overall performance of the system. Also, our proposal aims at improving the performance by not only considering the parameters that will affect the algorithm performance but also simplifying the structure of the network that will execute the algorithm. Our proposal was evaluated through mathematical analysis as well as computer simulations, and it was compared with the centralized approach and the original diffusion technique. Results show that our solution outperforms them in terms of throughput and response time. Finally, we proved that our proposal converges to the state of equilibrium where the loads in all in-domain nodes are the same since each node receives an amount of load proportional to its capacity. Therefore, we conclude that this approach would have an advantage of being fair, simple and no node is privileged.]]> Wed, 28 Jun 2023 13:41:19 GMT /slideshow/advanced-diffusion-approach-to-dynamic-loadbalancing-for-cloud-storage-258699171/258699171 ijdpsjournal@slideshare.net(ijdpsjournal) ADVANCED DIFFUSION APPROACH TO DYNAMIC LOAD-BALANCING FOR CLOUD STORAGE ijdpsjournal Load-balancing techniques have become a critical function in cloud storage systems that consist of complex heterogeneous networks of nodes with different capacities. However, the convergence rate of any load-balancing algorithm as well as its performance deteriorated as the number of nodes in the system, the diameter of the network and the communication overhead increased. Therefore, this paper presents an approach aims at scaling the system out not up - in other words, allowing the system to be expanded by adding more nodes without the need to increase the power of each node while at the same time increasing the overall performance of the system. Also, our proposal aims at improving the performance by not only considering the parameters that will affect the algorithm performance but also simplifying the structure of the network that will execute the algorithm. Our proposal was evaluated through mathematical analysis as well as computer simulations, and it was compared with the centralized approach and the original diffusion technique. Results show that our solution outperforms them in terms of throughput and response time. Finally, we proved that our proposal converges to the state of equilibrium where the loads in all in-domain nodes are the same since each node receives an amount of load proportional to its capacity. Therefore, we conclude that this approach would have an advantage of being fair, simple and no node is privileged. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ijdps6-230628134119-dbdf77d3-thumbnail.jpg?width=120&height=120&fit=bounds" /> Load-balancing techniques have become a critical function in cloud storage systems that consist of complex heterogeneous networks of nodes with different capacities. However, the convergence rate of any load-balancing algorithm as well as its performance deteriorated as the number of nodes in the system, the diameter of the network and the communication overhead increased. Therefore, this paper presents an approach aims at scaling the system out not up - in other words, allowing the system to be expanded by adding more nodes without the need to increase the power of each node while at the same time increasing the overall performance of the system. Also, our proposal aims at improving the performance by not only considering the parameters that will affect the algorithm performance but also simplifying the structure of the network that will execute the algorithm. Our proposal was evaluated through mathematical analysis as well as computer simulations, and it was compared with the centralized approach and the original diffusion technique. Results show that our solution outperforms them in terms of throughput and response time. Finally, we proved that our proposal converges to the state of equilibrium where the loads in all in-domain nodes are the same since each node receives an amount of load proportional to its capacity. Therefore, we conclude that this approach would have an advantage of being fair, simple and no node is privileged.

ADVANCED DIFFUSION APPROACH TO DYNAMIC LOAD-BALANCING FOR CLOUD STORAGE from ijdpsjournal

]]> 5 0 https://cdn.slidesharecdn.com/ss_thumbnails/ijdps6-230628134119-dbdf77d3-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 TRUST IN THE ADOPTION OF INTERNET OF THINGS FOR SMART AGRICULTURE IN DEVELOPING COUNTRIES /slideshow/trust-in-the-adoption-of-internet-of-things-for-smart-agriculture-in-developing-countries-258538970/258538970 ijdps-230621125049-d97f0ec0
Trust in online environments is based on beliefs in the trustworthiness of a trustee, which is composed of three distinct dimensions - integrity, ability, and benevolence. Zimbabwe has slowly adopted Internet of Things for smart agriculture as a way of improving on food security in the country, though there is hesitancy by most farmers citing trust issues as monitoring of crops, animals and farm equipment’s would be done online through connecting several devices and accessing data. Farmers are facing difficulties in trusting that the said technology has the ability to perform as expected in a specific situation or to complete a required task, i.e. if the technology will work consistently and reliably in monitoring the environment, nutrients, temperatures and equipment status. The integrity of the collected data as it will be used for decision making. There is a growing need to determine how trust in the technology influence the adoption of IoT for smart agriculture in Zimbabwe. The mixed methodology was used to gather data from 50 A2 model farmers randomly sampled in Zimbabwe. The findings revealed that McKnight etal. trust in technology model can be used to influence the adoption of IoT through trusting that the technology will be reliable and will operate as expected.Additional constructs such as security and distrust of technology can be used as reference for future research]]>
Trust in online environments is based on beliefs in the trustworthiness of a trustee, which is composed of three distinct dimensions - integrity, ability, and benevolence. Zimbabwe has slowly adopted Internet of Things for smart agriculture as a way of improving on food security in the country, though there is hesitancy by most farmers citing trust issues as monitoring of crops, animals and farm equipment’s would be done online through connecting several devices and accessing data. Farmers are facing difficulties in trusting that the said technology has the ability to perform as expected in a specific situation or to complete a required task, i.e. if the technology will work consistently and reliably in monitoring the environment, nutrients, temperatures and equipment status. The integrity of the collected data as it will be used for decision making. There is a growing need to determine how trust in the technology influence the adoption of IoT for smart agriculture in Zimbabwe. The mixed methodology was used to gather data from 50 A2 model farmers randomly sampled in Zimbabwe. The findings revealed that McKnight etal. trust in technology model can be used to influence the adoption of IoT through trusting that the technology will be reliable and will operate as expected.Additional constructs such as security and distrust of technology can be used as reference for future research]]> Wed, 21 Jun 2023 12:50:49 GMT /slideshow/trust-in-the-adoption-of-internet-of-things-for-smart-agriculture-in-developing-countries-258538970/258538970 ijdpsjournal@slideshare.net(ijdpsjournal) TRUST IN THE ADOPTION OF INTERNET OF THINGS FOR SMART AGRICULTURE IN DEVELOPING COUNTRIES ijdpsjournal Trust in online environments is based on beliefs in the trustworthiness of a trustee, which is composed of three distinct dimensions - integrity, ability, and benevolence. Zimbabwe has slowly adopted Internet of Things for smart agriculture as a way of improving on food security in the country, though there is hesitancy by most farmers citing trust issues as monitoring of crops, animals and farm equipment’s would be done online through connecting several devices and accessing data. Farmers are facing difficulties in trusting that the said technology has the ability to perform as expected in a specific situation or to complete a required task, i.e. if the technology will work consistently and reliably in monitoring the environment, nutrients, temperatures and equipment status. The integrity of the collected data as it will be used for decision making. There is a growing need to determine how trust in the technology influence the adoption of IoT for smart agriculture in Zimbabwe. The mixed methodology was used to gather data from 50 A2 model farmers randomly sampled in Zimbabwe. The findings revealed that McKnight etal. trust in technology model can be used to influence the adoption of IoT through trusting that the technology will be reliable and will operate as expected.Additional constructs such as security and distrust of technology can be used as reference for future research <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ijdps-230621125049-d97f0ec0-thumbnail.jpg?width=120&height=120&fit=bounds" /> Trust in online environments is based on beliefs in the trustworthiness of a trustee, which is composed of three distinct dimensions - integrity, ability, and benevolence. Zimbabwe has slowly adopted Internet of Things for smart agriculture as a way of improving on food security in the country, though there is hesitancy by most farmers citing trust issues as monitoring of crops, animals and farm equipment’s would be done online through connecting several devices and accessing data. Farmers are facing difficulties in trusting that the said technology has the ability to perform as expected in a specific situation or to complete a required task, i.e. if the technology will work consistently and reliably in monitoring the environment, nutrients, temperatures and equipment status. The integrity of the collected data as it will be used for decision making. There is a growing need to determine how trust in the technology influence the adoption of IoT for smart agriculture in Zimbabwe. The mixed methodology was used to gather data from 50 A2 model farmers randomly sampled in Zimbabwe. The findings revealed that McKnight etal. trust in technology model can be used to influence the adoption of IoT through trusting that the technology will be reliable and will operate as expected.Additional constructs such as security and distrust of technology can be used as reference for future research

TRUST IN THE ADOPTION OF INTERNET OF THINGS FOR SMART AGRICULTURE IN DEVELOPING COUNTRIES from ijdpsjournal

]]> 22 0 https://cdn.slidesharecdn.com/ss_thumbnails/ijdps-230621125049-d97f0ec0-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 DCE: A NOVEL DELAY CORRELATION MEASUREMENT FOR TOMOGRAPHY WITH PASSIVE REALIZATION /slideshow/dce-a-novel-delay-correlation-measurement-for-tomography-with-passive-realization/258420280 ijdps-230614130403-7109f46d
Tomography is important for network design and routing optimization. Prior approaches require either precise time synchronization or complex cooperation. Furthermore, active tomography consumes explicit probing resulting in limited scalability. To address the first issue we propose a novel Delay Correlation Estimation methodology named DCE with no need of synchronization and special cooperation. For the second issue we develop a passive realization mechanism merely using regular data flow without explicit bandwidth consumption. Extensive simulations in OMNeT++ are made to evaluate its accuracy where we show that DCE measurement is highly identical with the true value. Also from test result we find that mechanism of passive realization is able to achieve both regular data transmission and purpose of tomography with excellent robustness versus different background traffic and package size.]]>
Tomography is important for network design and routing optimization. Prior approaches require either precise time synchronization or complex cooperation. Furthermore, active tomography consumes explicit probing resulting in limited scalability. To address the first issue we propose a novel Delay Correlation Estimation methodology named DCE with no need of synchronization and special cooperation. For the second issue we develop a passive realization mechanism merely using regular data flow without explicit bandwidth consumption. Extensive simulations in OMNeT++ are made to evaluate its accuracy where we show that DCE measurement is highly identical with the true value. Also from test result we find that mechanism of passive realization is able to achieve both regular data transmission and purpose of tomography with excellent robustness versus different background traffic and package size.]]> Wed, 14 Jun 2023 13:04:03 GMT /slideshow/dce-a-novel-delay-correlation-measurement-for-tomography-with-passive-realization/258420280 ijdpsjournal@slideshare.net(ijdpsjournal) DCE: A NOVEL DELAY CORRELATION MEASUREMENT FOR TOMOGRAPHY WITH PASSIVE REALIZATION ijdpsjournal Tomography is important for network design and routing optimization. Prior approaches require either precise time synchronization or complex cooperation. Furthermore, active tomography consumes explicit probing resulting in limited scalability. To address the first issue we propose a novel Delay Correlation Estimation methodology named DCE with no need of synchronization and special cooperation. For the second issue we develop a passive realization mechanism merely using regular data flow without explicit bandwidth consumption. Extensive simulations in OMNeT++ are made to evaluate its accuracy where we show that DCE measurement is highly identical with the true value. Also from test result we find that mechanism of passive realization is able to achieve both regular data transmission and purpose of tomography with excellent robustness versus different background traffic and package size. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ijdps-230614130403-7109f46d-thumbnail.jpg?width=120&height=120&fit=bounds" /> Tomography is important for network design and routing optimization. Prior approaches require either precise time synchronization or complex cooperation. Furthermore, active tomography consumes explicit probing resulting in limited scalability. To address the first issue we propose a novel Delay Correlation Estimation methodology named DCE with no need of synchronization and special cooperation. For the second issue we develop a passive realization mechanism merely using regular data flow without explicit bandwidth consumption. Extensive simulations in OMNeT++ are made to evaluate its accuracy where we show that DCE measurement is highly identical with the true value. Also from test result we find that mechanism of passive realization is able to achieve both regular data transmission and purpose of tomography with excellent robustness versus different background traffic and package size.

DCE: A NOVEL DELAY CORRELATION MEASUREMENT FOR TOMOGRAPHY WITH PASSIVE REALIZATION from ijdpsjournal

]]> 4 0 https://cdn.slidesharecdn.com/ss_thumbnails/ijdps-230614130403-7109f46d-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 LEVERAGING CLOUD BASED BIG DATA ANALYTICS IN KNOWLEDGE MANAGEMENT FOR ENHANCED DECISION MAKING IN ORGANIZATIONS /slideshow/leveraging-cloud-based-big-data-analytics-in-knowledge-management-for-enhanced-decision-making-in-organizations-258157257/258157257 ijdps-230531130139-79f97be2
In recent past, big data opportunities have gained much momentum to enhance knowledge management in organizations. However, big data due to its various properties like high volume, variety, and velocity can no longer be effectively stored and analyzed with traditional data management techniques to generate values for knowledge development. Hence, new technologies and architectures are required to store and analyze this big data through advanced data analytics and in turn generate vital real-time knowledge for effective decision making by organizations. More specifically, it is necessary to have a single infrastructure which provides common functionality of knowledge management, and flexible enough to handle different types of big data and big data analysis tasks. Cloud computing infrastructures capable of storing and processing large volume of data can be used for efficient big data processing because it minimizes the initial cost for the large-scale computing infrastructure demanded by big data analytics. This paper aims to explore the impact of big data analytics on knowledge management and proposes a cloud-based conceptual framework that can analyze big data in real time to facilitate enhanced decision making intended for competitive advantage. Thus, this framework will pave the way for organizations to explore the relationship between big data analytics and knowledge management which are mostly deemed as two distinct entities. ]]>
In recent past, big data opportunities have gained much momentum to enhance knowledge management in organizations. However, big data due to its various properties like high volume, variety, and velocity can no longer be effectively stored and analyzed with traditional data management techniques to generate values for knowledge development. Hence, new technologies and architectures are required to store and analyze this big data through advanced data analytics and in turn generate vital real-time knowledge for effective decision making by organizations. More specifically, it is necessary to have a single infrastructure which provides common functionality of knowledge management, and flexible enough to handle different types of big data and big data analysis tasks. Cloud computing infrastructures capable of storing and processing large volume of data can be used for efficient big data processing because it minimizes the initial cost for the large-scale computing infrastructure demanded by big data analytics. This paper aims to explore the impact of big data analytics on knowledge management and proposes a cloud-based conceptual framework that can analyze big data in real time to facilitate enhanced decision making intended for competitive advantage. Thus, this framework will pave the way for organizations to explore the relationship between big data analytics and knowledge management which are mostly deemed as two distinct entities. ]]> Wed, 31 May 2023 13:01:39 GMT /slideshow/leveraging-cloud-based-big-data-analytics-in-knowledge-management-for-enhanced-decision-making-in-organizations-258157257/258157257 ijdpsjournal@slideshare.net(ijdpsjournal) LEVERAGING CLOUD BASED BIG DATA ANALYTICS IN KNOWLEDGE MANAGEMENT FOR ENHANCED DECISION MAKING IN ORGANIZATIONS ijdpsjournal In recent past, big data opportunities have gained much momentum to enhance knowledge management in organizations. However, big data due to its various properties like high volume, variety, and velocity can no longer be effectively stored and analyzed with traditional data management techniques to generate values for knowledge development. Hence, new technologies and architectures are required to store and analyze this big data through advanced data analytics and in turn generate vital real-time knowledge for effective decision making by organizations. More specifically, it is necessary to have a single infrastructure which provides common functionality of knowledge management, and flexible enough to handle different types of big data and big data analysis tasks. Cloud computing infrastructures capable of storing and processing large volume of data can be used for efficient big data processing because it minimizes the initial cost for the large-scale computing infrastructure demanded by big data analytics. This paper aims to explore the impact of big data analytics on knowledge management and proposes a cloud-based conceptual framework that can analyze big data in real time to facilitate enhanced decision making intended for competitive advantage. Thus, this framework will pave the way for organizations to explore the relationship between big data analytics and knowledge management which are mostly deemed as two distinct entities. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ijdps-230531130139-79f97be2-thumbnail.jpg?width=120&height=120&fit=bounds" /> In recent past, big data opportunities have gained much momentum to enhance knowledge management in organizations. However, big data due to its various properties like high volume, variety, and velocity can no longer be effectively stored and analyzed with traditional data management techniques to generate values for knowledge development. Hence, new technologies and architectures are required to store and analyze this big data through advanced data analytics and in turn generate vital real-time knowledge for effective decision making by organizations. More specifically, it is necessary to have a single infrastructure which provides common functionality of knowledge management, and flexible enough to handle different types of big data and big data analysis tasks. Cloud computing infrastructures capable of storing and processing large volume of data can be used for efficient big data processing because it minimizes the initial cost for the large-scale computing infrastructure demanded by big data analytics. This paper aims to explore the impact of big data analytics on knowledge management and proposes a cloud-based conceptual framework that can analyze big data in real time to facilitate enhanced decision making intended for competitive advantage. Thus, this framework will pave the way for organizations to explore the relationship between big data analytics and knowledge management which are mostly deemed as two distinct entities.

LEVERAGING CLOUD BASED BIG DATA ANALYTICS IN KNOWLEDGE MANAGEMENT FOR ENHANCED DECISION MAKING IN ORGANIZATIONS from ijdpsjournal

]]> 18 0 https://cdn.slidesharecdn.com/ss_thumbnails/ijdps-230531130139-79f97be2-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 https://cdn.slidesharecdn.com/profile-photo-ijdpsjournal-48x48.jpg?cb=1725438659 https://cdn.slidesharecdn.com/ss_thumbnails/bigml20241-240904083327-2a802479-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/call-for-papers-5th-international-conference-on-big-data-machine-learning-and-applications-bigml-2024/271553615 Call for Papers - 5th ... https://cdn.slidesharecdn.com/ss_thumbnails/netiot2024-240904083153-a687ad47-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/call-for-papers-5th-international-conference-on-networks-iot-netiot-2024/271553588 Call for Papers - 5th ... https://cdn.slidesharecdn.com/ss_thumbnails/nlpd20241-240611105453-41a812d4-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/call-for-papers-5th-international-conference-on-nlp-big-data-nlpd-2024/269622200 Call for Papers - 5th ...