�ݺ�ߣshows by User: PakFar

�ݺ�ߣshows by User: PakFar / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: PakFar / Thu, 02 Feb 2017 01:49:10 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: PakFar Link Capacity Estimation in SDN-based End-hosts /PakFar/link-capacity-estimation-in-sdnbased-endhosts farzanaehcopy-170202014910
Software Defined Networking (SDN) is a new paradigm that facilitates network management and control. In our work, we explore the use of SDN for the control of network traffic on end-hosts. In particular, we use an OpenFlow software switch (OVS) to load balance application traffic across the multiple available network interfaces. A typical example is the simultaneous use of Wifi and 4G interfaces on a mobile device. In order to achieve optimal load balancing, it is critical to know the capacity of the last-hop links associated with the different interfaces. In this paper, we explore and adapt active packet probing mechanisms to the scenario of SDN-based endhost traffic control, in order to estimate the link capacity. In particular, we investigate the use of Variable Packet Size (VPS) probing, and demonstrate its viability via experiments.]]>
Software Defined Networking (SDN) is a new paradigm that facilitates network management and control. In our work, we explore the use of SDN for the control of network traffic on end-hosts. In particular, we use an OpenFlow software switch (OVS) to load balance application traffic across the multiple available network interfaces. A typical example is the simultaneous use of Wifi and 4G interfaces on a mobile device. In order to achieve optimal load balancing, it is critical to know the capacity of the last-hop links associated with the different interfaces. In this paper, we explore and adapt active packet probing mechanisms to the scenario of SDN-based endhost traffic control, in order to estimate the link capacity. In particular, we investigate the use of Variable Packet Size (VPS) probing, and demonstrate its viability via experiments.]]> Thu, 02 Feb 2017 01:49:10 GMT /PakFar/link-capacity-estimation-in-sdnbased-endhosts PakFar@slideshare.net(PakFar) Link Capacity Estimation in SDN-based End-hosts PakFar Software Defined Networking (SDN) is a new paradigm that facilitates network management and control. In our work, we explore the use of SDN for the control of network traffic on end-hosts. In particular, we use an OpenFlow software switch (OVS) to load balance application traffic across the multiple available network interfaces. A typical example is the simultaneous use of Wifi and 4G interfaces on a mobile device. In order to achieve optimal load balancing, it is critical to know the capacity of the last-hop links associated with the different interfaces. In this paper, we explore and adapt active packet probing mechanisms to the scenario of SDN-based endhost traffic control, in order to estimate the link capacity. In particular, we investigate the use of Variable Packet Size (VPS) probing, and demonstrate its viability via experiments. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/farzanaehcopy-170202014910-thumbnail.jpg?width=120&height=120&fit=bounds" /> Software Defined Networking (SDN) is a new paradigm that facilitates network management and control. In our work, we explore the use of SDN for the control of network traffic on end-hosts. In particular, we use an OpenFlow software switch (OVS) to load balance application traffic across the multiple available network interfaces. A typical example is the simultaneous use of Wifi and 4G interfaces on a mobile device. In order to achieve optimal load balancing, it is critical to know the capacity of the last-hop links associated with the different interfaces. In this paper, we explore and adapt active packet probing mechanisms to the scenario of SDN-based endhost traffic control, in order to estimate the link capacity. In particular, we investigate the use of Variable Packet Size (VPS) probing, and demonstrate its viability via experiments.

Link Capacity Estimation in SDN-based End-hosts from Farzaneh Pakzad

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0 Evaluation of mininet WiFi integration via ns-3 /slideshow/evaluation-of-mininet-wifi-integration-via-ns3/71661880 evaluationofmininet-wifiintegrationvians-3-170202014350
Mininet is a Linux-based network emulator that is particularly widely used for Software Defined Network experiments, due to its in-built support for OpenFlow switches. However, Mininet currently lacks support for wireless links. A recent work has addressed this limitation by using the realtime feature of ns-3 to integrate the IEEE 802.11 channel emulation feature with Mininet, which we refer to as Mininetns3- WiFi. While this approach has great potential to serve as an experimental platform, in particular for Software Defined Wireless Networks, it has not been extensively evaluated in terms of experiment result accuracy and fidelity. This is critical for any system that integrates simulation with real-time components. In this paper, we present a detailed evaluation of the fidelity of experimental results of Mininet-ns3-WiFi. We further present a reliable and low cost method that gives an experimenter an indicator about the fidelity and trustworthiness of the results.]]>
Mininet is a Linux-based network emulator that is particularly widely used for Software Defined Network experiments, due to its in-built support for OpenFlow switches. However, Mininet currently lacks support for wireless links. A recent work has addressed this limitation by using the realtime feature of ns-3 to integrate the IEEE 802.11 channel emulation feature with Mininet, which we refer to as Mininetns3- WiFi. While this approach has great potential to serve as an experimental platform, in particular for Software Defined Wireless Networks, it has not been extensively evaluated in terms of experiment result accuracy and fidelity. This is critical for any system that integrates simulation with real-time components. In this paper, we present a detailed evaluation of the fidelity of experimental results of Mininet-ns3-WiFi. We further present a reliable and low cost method that gives an experimenter an indicator about the fidelity and trustworthiness of the results.]]> Thu, 02 Feb 2017 01:43:50 GMT /slideshow/evaluation-of-mininet-wifi-integration-via-ns3/71661880 PakFar@slideshare.net(PakFar) Evaluation of mininet WiFi integration via ns-3 PakFar Mininet is a Linux-based network emulator that is particularly widely used for Software Defined Network experiments, due to its in-built support for OpenFlow switches. However, Mininet currently lacks support for wireless links. A recent work has addressed this limitation by using the realtime feature of ns-3 to integrate the IEEE 802.11 channel emulation feature with Mininet, which we refer to as Mininetns3- WiFi. While this approach has great potential to serve as an experimental platform, in particular for Software Defined Wireless Networks, it has not been extensively evaluated in terms of experiment result accuracy and fidelity. This is critical for any system that integrates simulation with real-time components. In this paper, we present a detailed evaluation of the fidelity of experimental results of Mininet-ns3-WiFi. We further present a reliable and low cost method that gives an experimenter an indicator about the fidelity and trustworthiness of the results. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/evaluationofmininet-wifiintegrationvians-3-170202014350-thumbnail.jpg?width=120&height=120&fit=bounds" /> Mininet is a Linux-based network emulator that is particularly widely used for Software Defined Network experiments, due to its in-built support for OpenFlow switches. However, Mininet currently lacks support for wireless links. A recent work has addressed this limitation by using the realtime feature of ns-3 to integrate the IEEE 802.11 channel emulation feature with Mininet, which we refer to as Mininetns3- WiFi. While this approach has great potential to serve as an experimental platform, in particular for Software Defined Wireless Networks, it has not been extensively evaluated in terms of experiment result accuracy and fidelity. This is critical for any system that integrates simulation with real-time components. In this paper, we present a detailed evaluation of the fidelity of experimental results of Mininet-ns3-WiFi. We further present a reliable and low cost method that gives an experimenter an indicator about the fidelity and trustworthiness of the results.

Evaluation of mininet WiFi integration via ns-3 from Farzaneh Pakzad

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0 SCOR: Constraint Programming-based Northbound Interface for SDN /slideshow/scor-constraint-programmingbased-northbound-interface-for-sdn/71661664 itnac-2016-paper-170202013415
In this paper, we introduce SCOR (Software-defined Constrained Optimal Routing), a new SDN Northbound Interface for QoS routing and traffic engineering. SCOR is based on constraint programming techniques and is implemented in the MiniZinc modelling language. It provides a powerful, high level abstraction, consisting of 9 basic constraint programming predicates. A key feature of SCOR is that it is declarative, where only the constraints and utility function of the routing problem need to be expressed, and the complexity of solving the problem is hidden from the user, and handled by a powerful generic solver. We show that the interface (set of predicates) of SCOR is sufficiently expressive to handle all the known and relevant QoS routing problems. We further demonstrate the practicality and scalability of the approach via a number of example scenarios, with varying network topologies, network sizes and number of flows.]]>
In this paper, we introduce SCOR (Software-defined Constrained Optimal Routing), a new SDN Northbound Interface for QoS routing and traffic engineering. SCOR is based on constraint programming techniques and is implemented in the MiniZinc modelling language. It provides a powerful, high level abstraction, consisting of 9 basic constraint programming predicates. A key feature of SCOR is that it is declarative, where only the constraints and utility function of the routing problem need to be expressed, and the complexity of solving the problem is hidden from the user, and handled by a powerful generic solver. We show that the interface (set of predicates) of SCOR is sufficiently expressive to handle all the known and relevant QoS routing problems. We further demonstrate the practicality and scalability of the approach via a number of example scenarios, with varying network topologies, network sizes and number of flows.]]> Thu, 02 Feb 2017 01:34:15 GMT /slideshow/scor-constraint-programmingbased-northbound-interface-for-sdn/71661664 PakFar@slideshare.net(PakFar) SCOR: Constraint Programming-based Northbound Interface for SDN PakFar In this paper, we introduce SCOR (Software-defined Constrained Optimal Routing), a new SDN Northbound Interface for QoS routing and traffic engineering. SCOR is based on constraint programming techniques and is implemented in the MiniZinc modelling language. It provides a powerful, high level abstraction, consisting of 9 basic constraint programming predicates. A key feature of SCOR is that it is declarative, where only the constraints and utility function of the routing problem need to be expressed, and the complexity of solving the problem is hidden from the user, and handled by a powerful generic solver. We show that the interface (set of predicates) of SCOR is sufficiently expressive to handle all the known and relevant QoS routing problems. We further demonstrate the practicality and scalability of the approach via a number of example scenarios, with varying network topologies, network sizes and number of flows. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/itnac-2016-paper-170202013415-thumbnail.jpg?width=120&height=120&fit=bounds" /> In this paper, we introduce SCOR (Software-defined Constrained Optimal Routing), a new SDN Northbound Interface for QoS routing and traffic engineering. SCOR is based on constraint programming techniques and is implemented in the MiniZinc modelling language. It provides a powerful, high level abstraction, consisting of 9 basic constraint programming predicates. A key feature of SCOR is that it is declarative, where only the constraints and utility function of the routing problem need to be expressed, and the complexity of solving the problem is hidden from the user, and handled by a powerful generic solver. We show that the interface (set of predicates) of SCOR is sufficiently expressive to handle all the known and relevant QoS routing problems. We further demonstrate the practicality and scalability of the approach via a number of example scenarios, with varying network topologies, network sizes and number of flows.

SCOR: Constraint Programming-based Northbound Interface for SDN from Farzaneh Pakzad

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0 Securing ARP in Software Defined Networks /slideshow/securing-arp-in-software-defined-networks/71661485 lcn2016-23-170202012409
The mapping of Layer 3 (IP) to Layer 2 (MAC) addresses is a key service in IP networks, and is achieved via the ARP protocol in IPv4, and the NDP protocol in IPv6. Due to their stateless nature and lack of authentication, both ARP and NDP are vulnerable to spoofing attacks, which can enable Denial of Service (DoS) or man-in-the-middle (MITM) attacks. In this paper, we discuss the problem of ARP spoofing in the context of Software Defined Networks (SDNs), and present a new mitigation approach which leverages the centralised network control of SDN. ]]>
The mapping of Layer 3 (IP) to Layer 2 (MAC) addresses is a key service in IP networks, and is achieved via the ARP protocol in IPv4, and the NDP protocol in IPv6. Due to their stateless nature and lack of authentication, both ARP and NDP are vulnerable to spoofing attacks, which can enable Denial of Service (DoS) or man-in-the-middle (MITM) attacks. In this paper, we discuss the problem of ARP spoofing in the context of Software Defined Networks (SDNs), and present a new mitigation approach which leverages the centralised network control of SDN. ]]> Thu, 02 Feb 2017 01:24:09 GMT /slideshow/securing-arp-in-software-defined-networks/71661485 PakFar@slideshare.net(PakFar) Securing ARP in Software Defined Networks PakFar The mapping of Layer 3 (IP) to Layer 2 (MAC) addresses is a key service in IP networks, and is achieved via the ARP protocol in IPv4, and the NDP protocol in IPv6. Due to their stateless nature and lack of authentication, both ARP and NDP are vulnerable to spoofing attacks, which can enable Denial of Service (DoS) or man-in-the-middle (MITM) attacks. In this paper, we discuss the problem of ARP spoofing in the context of Software Defined Networks (SDNs), and present a new mitigation approach which leverages the centralised network control of SDN. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/lcn2016-23-170202012409-thumbnail.jpg?width=120&height=120&fit=bounds" /> The mapping of Layer 3 (IP) to Layer 2 (MAC) addresses is a key service in IP networks, and is achieved via the ARP protocol in IPv4, and the NDP protocol in IPv6. Due to their stateless nature and lack of authentication, both ARP and NDP are vulnerable to spoofing attacks, which can enable Denial of Service (DoS) or man-in-the-middle (MITM) attacks. In this paper, we discuss the problem of ARP spoofing in the context of Software Defined Networks (SDNs), and present a new mitigation approach which leverages the centralised network control of SDN.

Securing ARP in Software Defined Networks from Farzaneh Pakzad

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0 Link Capacity Estimation in Wireless Software Defined Networks /slideshow/link-capacity-estimation-in-wireless-software-defined-networks/55487208 linkcapacity9-151125010428-lva1-app6892
Farzaneh Pakzad, Marius Portmanny and Jared Hayward School of ITEE, The University of Queensland, Brisbane, Australia Email: farzaneh.pakzad@uq.net.au, marius@ieee.org, jared.hayward@uqconnect.edu.au 25th International Telecommunication Networks and Applications Conference November 18-20, 2015 UNSW, Sydney, Australia DOI: 10.1109/ATNAC.2015.7366814 SDN is a new approach to manage networks with a centralised, global view and control of the network, and a more fine grained and flexible approach to routing and forwarding of data packets. This has shown to achieve significantly increased network efficiency in a range of wired networks. SDN also has a great potential for wireless networks. One of the unique challenges of applying the SDN approach to wireless networks, in contrast to wired networks, is the dynamic nature of wireless links and the uncertainty about their capacity. In order to be able to do optimal routing and traffic engineering with SDN in a wireless network, it is critical to know the capacity of the available wireless links. This paper presents a link capacity estimation mechanism that can be implemented on any OpenFlow SDN controller. For this, we adapted the well-known technique of packet pair/train probing, and developed a method that allows the correction of estimation errors induced by cross traffic. We have implemented a prototype for the Ryu SDN controller, and our emulation-based experimental results show a promising accuracy of our proposed approach.]]>
Farzaneh Pakzad, Marius Portmanny and Jared Hayward School of ITEE, The University of Queensland, Brisbane, Australia Email: farzaneh.pakzad@uq.net.au, marius@ieee.org, jared.hayward@uqconnect.edu.au 25th International Telecommunication Networks and Applications Conference November 18-20, 2015 UNSW, Sydney, Australia DOI: 10.1109/ATNAC.2015.7366814 SDN is a new approach to manage networks with a centralised, global view and control of the network, and a more fine grained and flexible approach to routing and forwarding of data packets. This has shown to achieve significantly increased network efficiency in a range of wired networks. SDN also has a great potential for wireless networks. One of the unique challenges of applying the SDN approach to wireless networks, in contrast to wired networks, is the dynamic nature of wireless links and the uncertainty about their capacity. In order to be able to do optimal routing and traffic engineering with SDN in a wireless network, it is critical to know the capacity of the available wireless links. This paper presents a link capacity estimation mechanism that can be implemented on any OpenFlow SDN controller. For this, we adapted the well-known technique of packet pair/train probing, and developed a method that allows the correction of estimation errors induced by cross traffic. We have implemented a prototype for the Ryu SDN controller, and our emulation-based experimental results show a promising accuracy of our proposed approach.]]> Wed, 25 Nov 2015 01:04:28 GMT /slideshow/link-capacity-estimation-in-wireless-software-defined-networks/55487208 PakFar@slideshare.net(PakFar) Link Capacity Estimation in Wireless Software Defined Networks PakFar Farzaneh Pakzad, Marius Portmanny and Jared Hayward School of ITEE, The University of Queensland, Brisbane, Australia Email: farzaneh.pakzad@uq.net.au, marius@ieee.org, jared.hayward@uqconnect.edu.au 25th International Telecommunication Networks and Applications Conference November 18-20, 2015 UNSW, Sydney, Australia DOI: 10.1109/ATNAC.2015.7366814 SDN is a new approach to manage networks with a centralised, global view and control of the network, and a more fine grained and flexible approach to routing and forwarding of data packets. This has shown to achieve significantly increased network efficiency in a range of wired networks. SDN also has a great potential for wireless networks. One of the unique challenges of applying the SDN approach to wireless networks, in contrast to wired networks, is the dynamic nature of wireless links and the uncertainty about their capacity. In order to be able to do optimal routing and traffic engineering with SDN in a wireless network, it is critical to know the capacity of the available wireless links. This paper presents a link capacity estimation mechanism that can be implemented on any OpenFlow SDN controller. For this, we adapted the well-known technique of packet pair/train probing, and developed a method that allows the correction of estimation errors induced by cross traffic. We have implemented a prototype for the Ryu SDN controller, and our emulation-based experimental results show a promising accuracy of our proposed approach. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/linkcapacity9-151125010428-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=bounds" /> Farzaneh Pakzad, Marius Portmanny and Jared Hayward School of ITEE, The University of Queensland, Brisbane, Australia Email: farzaneh.pakzad@uq.net.au, marius@ieee.org, jared.hayward@uqconnect.edu.au 25th International Telecommunication Networks and Applications Conference November 18-20, 2015 UNSW, Sydney, Australia DOI: 10.1109/ATNAC.2015.7366814 SDN is a new approach to manage networks with a centralised, global view and control of the network, and a more fine grained and flexible approach to routing and forwarding of data packets. This has shown to achieve significantly increased network efficiency in a range of wired networks. SDN also has a great potential for wireless networks. One of the unique challenges of applying the SDN approach to wireless networks, in contrast to wired networks, is the dynamic nature of wireless links and the uncertainty about their capacity. In order to be able to do optimal routing and traffic engineering with SDN in a wireless network, it is critical to know the capacity of the available wireless links. This paper presents a link capacity estimation mechanism that can be implemented on any OpenFlow SDN controller. For this, we adapted the well-known technique of packet pair/train probing, and developed a method that allows the correction of estimation errors induced by cross traffic. We have implemented a prototype for the Ryu SDN controller, and our emulation-based experimental results show a promising accuracy of our proposed approach.

Link Capacity Estimation in Wireless Software Defined Networks from Farzaneh Pakzad

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0 Efficient Topology Discovery in Software Defined Networks /slideshow/efficient-topology-discovery-in-software-defined-networks/44057431 topologydiscovery24-150129220122-conversion-gate02
Efficient topology discovery in software defined networks Farzaneh Pakzad, Marius Portmann, Wee Lum Tan, Jadwiga Indulska ABSTRACT Software Defined Networking (SDN) is a new networking paradigm, with a great potential to increase network efficiency, ease the complexity of network control and management, and accelerate the rate of technology innovation. One of the core concepts of SDN is the separation of the network's control and data plane. The intelligence and the control of the network operation and management, such as routing, is removed from the forwarding elements (switches) and is concentrated in a logically centralised component, i.e. the SDN controller. In order for the controller to configure and manage the network, it needs to have up-to-date information about the state of the network, in particular its topology. Consequently, topology discovery is a critical component of any Software Defined Network architecture. In this paper, we evaluate the cost and overhead of the de facto standard approach to topology discovery currently implemented by the major SDN controller frameworks, and propose simple and practical modifications which achieve a significantly improved efficiency and reduced control overhead. We have implemented our new topology discovery approach on the widely used POX controller platform, and have evaluated it for a range of network topologies via experiments using the Mininet network emulator. Our results show that our proposed modifications achieve an up to 45% reduction in controller load compared to the current state-of-the-art approach, while delivering identical discovery functionality. Fulltext : http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=7021050&queryText%3DEfficient+topology+discovery+in+software+defined+networks]]>
Efficient topology discovery in software defined networks Farzaneh Pakzad, Marius Portmann, Wee Lum Tan, Jadwiga Indulska ABSTRACT Software Defined Networking (SDN) is a new networking paradigm, with a great potential to increase network efficiency, ease the complexity of network control and management, and accelerate the rate of technology innovation. One of the core concepts of SDN is the separation of the network's control and data plane. The intelligence and the control of the network operation and management, such as routing, is removed from the forwarding elements (switches) and is concentrated in a logically centralised component, i.e. the SDN controller. In order for the controller to configure and manage the network, it needs to have up-to-date information about the state of the network, in particular its topology. Consequently, topology discovery is a critical component of any Software Defined Network architecture. In this paper, we evaluate the cost and overhead of the de facto standard approach to topology discovery currently implemented by the major SDN controller frameworks, and propose simple and practical modifications which achieve a significantly improved efficiency and reduced control overhead. We have implemented our new topology discovery approach on the widely used POX controller platform, and have evaluated it for a range of network topologies via experiments using the Mininet network emulator. Our results show that our proposed modifications achieve an up to 45% reduction in controller load compared to the current state-of-the-art approach, while delivering identical discovery functionality. Fulltext : http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=7021050&queryText%3DEfficient+topology+discovery+in+software+defined+networks]]> Thu, 29 Jan 2015 22:01:22 GMT /slideshow/efficient-topology-discovery-in-software-defined-networks/44057431 PakFar@slideshare.net(PakFar) Efficient Topology Discovery in Software Defined Networks PakFar Efficient topology discovery in software defined networks Farzaneh Pakzad, Marius Portmann, Wee Lum Tan, Jadwiga Indulska ABSTRACT Software Defined Networking (SDN) is a new networking paradigm, with a great potential to increase network efficiency, ease the complexity of network control and management, and accelerate the rate of technology innovation. One of the core concepts of SDN is the separation of the network's control and data plane. The intelligence and the control of the network operation and management, such as routing, is removed from the forwarding elements (switches) and is concentrated in a logically centralised component, i.e. the SDN controller. In order for the controller to configure and manage the network, it needs to have up-to-date information about the state of the network, in particular its topology. Consequently, topology discovery is a critical component of any Software Defined Network architecture. In this paper, we evaluate the cost and overhead of the de facto standard approach to topology discovery currently implemented by the major SDN controller frameworks, and propose simple and practical modifications which achieve a significantly improved efficiency and reduced control overhead. We have implemented our new topology discovery approach on the widely used POX controller platform, and have evaluated it for a range of network topologies via experiments using the Mininet network emulator. Our results show that our proposed modifications achieve an up to 45% reduction in controller load compared to the current state-of-the-art approach, while delivering identical discovery functionality. Fulltext : http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=7021050&queryText%3DEfficient+topology+discovery+in+software+defined+networks <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/topologydiscovery24-150129220122-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=bounds" /> Efficient topology discovery in software defined networks Farzaneh Pakzad, Marius Portmann, Wee Lum Tan, Jadwiga Indulska ABSTRACT Software Defined Networking (SDN) is a new networking paradigm, with a great potential to increase network efficiency, ease the complexity of network control and management, and accelerate the rate of technology innovation. One of the core concepts of SDN is the separation of the network's control and data plane. The intelligence and the control of the network operation and management, such as routing, is removed from the forwarding elements (switches) and is concentrated in a logically centralised component, i.e. the SDN controller. In order for the controller to configure and manage the network, it needs to have up-to-date information about the state of the network, in particular its topology. Consequently, topology discovery is a critical component of any Software Defined Network architecture. In this paper, we evaluate the cost and overhead of the de facto standard approach to topology discovery currently implemented by the major SDN controller frameworks, and propose simple and practical modifications which achieve a significantly improved efficiency and reduced control overhead. We have implemented our new topology discovery approach on the widely used POX controller platform, and have evaluated it for a range of network topologies via experiments using the Mininet network emulator. Our results show that our proposed modifications achieve an up to 45% reduction in controller load compared to the current state-of-the-art approach, while delivering identical discovery functionality. Fulltext : http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=7021050&queryText%3DEfficient+topology+discovery+in+software+defined+networks

Efficient Topology Discovery in Software Defined Networks from Farzaneh Pakzad

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0 https://cdn.slidesharecdn.com/profile-photo-PakFar-48x48.jpg?cb=1636763157 https://cdn.slidesharecdn.com/ss_thumbnails/farzanaehcopy-170202014910-thumbnail.jpg?width=320&height=320&fit=bounds PakFar/link-capacity-estimation-in-sdnbased-endhosts Link Capacity Estimati... https://cdn.slidesharecdn.com/ss_thumbnails/evaluationofmininet-wifiintegrationvians-3-170202014350-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/evaluation-of-mininet-wifi-integration-via-ns3/71661880 Evaluation of mininet ... https://cdn.slidesharecdn.com/ss_thumbnails/itnac-2016-paper-170202013415-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/scor-constraint-programmingbased-northbound-interface-for-sdn/71661664 SCOR: Constraint Progr...