1. Context-aware computing uses information about a user's environment and situation to provide tailored services, with the goal of delivering the right service at the right moment.
2. Context includes information such as location, identity, activity, schedule, nearby resources and more. It comes from various sources and changes over time.
3. Designing context-aware applications and systems requires acquiring context information, reasoning about it, and using it intelligently to benefit users or services while maintaining user privacy and control. Many technical and research challenges remain open.
This document discusses pervasive computing, which involves embedding microprocessors in everyday objects to allow ubiquitous communication and sharing of digital information. Key points include:
- Pervasive computing aims to make technologies seamlessly integrated into daily life through miniaturized, networked "smart objects".
- It builds upon distributed and mobile computing trends towards constant connectivity anywhere.
- Major challenges include scaling the technology as more devices connect, integrating heterogeneous systems, and ensuring user privacy and interface invisibility.
- Research initiatives like Oxygen, Aura and Cooltown aim to advance this vision of ambient intelligence through objects and environments that are responsive to human needs.
Ubiquitous computing is one of the most prodiously growing topic which will be covering all facets of life.In the course of ordinary activities, someone "using" ubiquitous computing engages many computational devices and systems simultaneously, and may not necessarily even be aware that they are doing so. This model is considered an advancement from the older desktop paradigm. More formally, ubiquitous computing is defined as "machines that fit the human environment instead of forcing humans to enter theirs".
Virtualization vulnerabilities, security issues, and solutions:
Virtualization is technological revolution that
separates functions from underlying hardware and allows
us to create useful environment from abstract resources.
Virtualization technology has been targeted by attackers
for malicious activity. Attackers could compromise VM
infrastructures, allowing them to access other VMs on the
same system and even the host.
This presentation emphasize on
the assessment of virtualization specific vulnerabilities,
security issues and possible solutions.
By-Nitish Awasthi
B.Tech.CTIS
Invertis University Bareilly
Nano computing describes computing that uses extremely small, or nano scale, devices. It will be integrated into existing products like disk drives and fundamentally new products, software, and architectures will be developed. Nano computing will change the computer industry in many ways by making existing technologies like memory and storage even more abundant and enabling new technologies to replace obsolete machines, requiring enormous effort and resources. Nano computers could potentially be small enough to fit in a jacket pocket while having storage for all of today's internet and processing capabilities surpassing today's supercomputers. However, full realization of nano computing's potential may not occur for at least 15 years.
Virtual versions of servers, applications, networks and storage can be created through virtualization. Its main types include operating system virtualization (VMs), hardware virtualization, application-server virtualization, storage virtualization, network virtualization, administrative virtualization and application virtualization.
This document discusses mixing cheap thin clients with virtualization for desktop virtualization. It explains that desktop virtualization involves storing a user's desktop as a virtual machine on a central server, which the user can then access from any device using a small thin client application. This provides advantages like easier management, simpler provisioning, and cost savings, as thin clients have low hardware requirements and the server handles processing. It specifically discusses how VMware View uses vSphere virtual machines running on ESX/ESXi hosts as virtual desktops, with thin clients connecting via RDP or PCoIP protocols. The thin clients can then run any type of hosted operating system.
ABSTRACT
Cloud computing promises to significantly change the way we use computers and access and store our personal and business information. With these new computing and communications paradigms arise new data security challenges. Existing data protection mechanisms such as encryption have failed in preventing data theft attacks, especially those perpetrated by an insider to the cloud provider.
For securing user data from such attacks a new paradigm called fog computing can be used. Fog Computing is a paradigm that extends Cloud computing and services to the edge of the network. Similar to Cloud, Fog provides data, compute, storage, and application services to end-users. The motivation of Fog computing lies in a series of real scenarios, such as Smart Grid, smart traffic lights in vehicular networks and software defined network This technique can monitor the user activity to identify the legitimacy and prevent from any unauthorized user access. Here we have discussed this paradigm for preventing misuse of user data and securing information.
CONCLUSION
This proposal of monitoring data access patterns by profiling user behavior to determine if and when a malicious insider illegitimately accesses someones documents in a Cloud service. Decoy documents stored in the Cloud alongside the users real data also serve as sensors to detect illegitimate access. Once unauthorized data access or exposure is suspected, and later verified, with challenge questions for instance, this inundate the malicious insider with bogus information in order to dilute the users real data. Such preventive attacks that rely on disinformation technology could provide unprecedented levels of security in the Cloud and in social networks.
Ubiquitous computing (ubicomp) refers to computers integrated into everyday objects and activities. The goal is to create an environment where connectivity between devices is always available but unobtrusive. Examples of ubicomp devices include digital audio players, RFID tags, smartphones, and interactive whiteboards. Mark Weiser is considered the father of ubiquitous computing and coined the term in the 1980s.
Mobile computing allows users to access network services from any location using portable devices. It enables connectivity and access to information anywhere and anytime. Mobile computing faces several challenges due to low bandwidth, variable connectivity, and security risks when accessing networks from untrusted locations. However, technology is constantly improving and helping to address limitations. The future of mobile computing may include greater use of artificial intelligence, integrated circuits for more compact devices, and faster computer processors.
The document discusses the history and usage of virtualization technology, provides an overview of CPU, memory, and I/O virtualization, compares the Xen and KVM virtualization architectures, and describes some Intel work to support virtualization in OpenStack including the Open Attestation service.
The document discusses pervasive computing, which refers to microprocessors being embedded everywhere and computing being available anywhere. It is enabled by technologies like mobile internet access, wireless communication, and Bluetooth. Pervasive computing allows access from any device, on any network, with any data. It aims to spread intelligence and connectivity to more or less everything, from ships and aircrafts to coffee mugs and the human body. Some principles of pervasive computing include anytime/anywhere access, physical integration between computing nodes and the physical world, and instantaneous interoperation between devices. Examples of applications include smart clothing, interactive flexible posters, and pill cameras.
In the presentations definition of SLA, its types and life cycle of SLA is discussed or explained in the session. For Live video you can listen to me on https://www.youtube.com/user/neeleshcmc
This document discusses task-based programming models for distributed computing. It defines tasks as distinct units of code that can be executed remotely. Task computing provides distribution by harnessing multiple computing nodes, unlike multithreaded computing within a single machine. The document categorizes task computing into high-performance, high-throughput, and many-task computing. It also describes popular task computing frameworks like Aneka, Condor, Globus Toolkit, and describes developing applications using the Aneka task programming model.
Virtualization allows multiple operating systems to run on a single machine by creating virtual versions of hardware resources. There are three main types of virtualization: partial, full, and para. A hypervisor manages virtual machines and allocates resources to guest operating systems. Cloud computing delivers computing as an on-demand utility over the internet by sharing resources. It provides software, platforms and infrastructure as services across public, private, hybrid and community clouds. Big data refers to massive volumes of structured and unstructured data that is difficult to process using traditional techniques and requires specialized infrastructure.
Virtualization allows multiple operating systems and applications to run on a single hardware device by dividing the resources virtually. It provides isolation, encapsulation, and interposition. There are two types of hypervisors - Type 1 runs directly on hardware and Type 2 runs on an operating system. Virtualization can be applied to servers, desktops, applications, networks, and storage to improve utilization, security, and manageability.
The document discusses the five layers of the grid protocol architecture: 1) the fabric layer which provides access to different resource types, 2) the connectivity layer which defines core communication and authentication protocols, 3) the resource layer which defines protocols for publishing, discovering, and accessing individual resources, 4) the collective layer which captures interactions across collections of resources through directory services, and 5) the application layer which comprises user applications built on top of the lower layers and operate in virtual organization environments.
The document discusses EyePhone, a proposed technology that would allow users to control a mobile phone using only their eyes. EyePhone tracks eye movement and blinks using the front-facing camera to navigate menus, select applications, and emulate mouse clicks. It works through four phases - eye detection, open eye template creation, eye tracking through template matching, and blink detection. Potential applications include an "EyeMenu" interface and monitoring driver safety in cars. The document concludes that EyePhone shows promise as a hands-free way to control mobile devices.
This document discusses different virtualization techniques used for cloud computing and data centers. It begins by outlining the needs for virtualization in addressing issues like server underutilization and high power consumption in data centers. It then covers various types of virtualization including full virtualization, paravirtualization, and hardware-assisted virtualization. The document also discusses challenges of virtualizing x86 hardware and solutions like binary translation and using modified guest operating systems to enable paravirtualization. Finally, it mentions how newer CPUs support hardware virtualization to improve the efficiency and security of virtualization.
A virtual machine (VM) is a software program or operating system that not only exhibits the behavior of a separate computer but is also capable of performing tasks such as running applications and programs like a separate computer.
Virtualization allows multiple operating systems to run simultaneously on a single physical server using a hypervisor. This reduces costs by improving hardware utilization, lowering maintenance needs, and providing continuous server uptime. There are two main hypervisor types: native hypervisors have direct access to server hardware while hosted hypervisors run within an operating system. Virtualization offers advantages like zero downtime maintenance, dynamic resource allocation, and automated backups.
The document outlines a 10-step IoT design methodology that includes purpose and requirements specification, process specification, domain modeling, information modeling, service specifications, IoT level specification, functional view specification, operational view specification, device and component integration, and application development. It then provides an example application of this methodology to design a smart home automation system for controlling lights remotely. The example walks through each step for specifying the purpose, domain model, information model, services, functional views, and developing the application and native controller components.
ABSTRACT
Cloud computing promises to significantly change the way we use computers and access and store our personal and business information. With these new computing and communications paradigms arise new data security challenges. Existing data protection mechanisms such as encryption have failed in preventing data theft attacks, especially those perpetrated by an insider to the cloud provider. For securing user data from such attacks a new paradigm called fog computing can be used. Fog Computing is a paradigm that extends Cloud computing and services to the edge of the network. Similar to Cloud, Fog provides data, compute, storage, and application services to end-users. The motivation of Fog computing lies in a series of real scenarios, such as Smart Grid, smart traffic lights in vehicular networks and software defined network .This technique can monitor the user activity to identify the legitimacy and prevent from any unauthorized user access. Here we have discussed this paradigm for preventing misuse of user data and securing information.
This document appears to be a seminar paper on embedded web technology presented by Sruthi R Babu. It includes an introduction, sections on embedded web technology basics covering embedded systems, embedded web servers, and the client-server model. It also discusses HTML, XML, explanations of embedded web technology, and applications. The paper was completed to fulfill requirements for a BTech degree and was certified by several professors from the College of Engineering Pathanapuram.
2. Distributed Systems Hardware & Software conceptsPrajakta Rane
油
This document discusses distributed system software and middleware. It describes three types of operating systems used in distributed systems - distributed operating systems, network operating systems, and middleware operating systems. Middleware operating systems provide a common set of services for local applications and independent services for remote applications. Common middleware models include remote procedure call, remote method invocation, CORBA, and message-oriented middleware. Middleware offers services like naming, persistence, messaging, querying, concurrency control, and security.
The document discusses a mid-evaluation of a major project comparing several hypervisors. It will compare Xen, KVM, VMware, and VirtualBox based on their technical differences and performance benchmarks. The benchmarks will test CPU speed, network speed, I/O speed, and performance running various server workloads. This comparison will help determine the best hypervisor for a given virtualization situation. Key factors that will be compared include OS support, security, CPU speed, network speed, I/O speed, and response times.
Virtual Machine provisioning and migration servicesANUSUYA T K
油
Cloud computing builds on technologies like service-oriented architecture, grid computing, and virtualization. It offers on-demand, pay-as-you-use computing resources through virtual machines that provide flexibility, reliability, and agility. Virtual machines enable organizations to easily manage computing resources and services through mechanisms like on-demand cloning and live migration. Virtualization has revolutionized data centers and become an essential technology for cloud computing environments by virtualizing computing resources like storage, processing power, memory, and networks.
The document discusses key concepts in Internet of Things (IoT) design including:
1) Defining IoT as physical objects connected to the internet via sensors and controllers.
2) The importance of usability (UI/UX design) and designing for both physical appearance and logical functionality.
3) Approaches like "calm technology" that engages users' peripheral attention in a subtle rather than obtrusive way.
Ubiquitous computing involves embedding microprocessors in everyday objects to allow them to communicate information. This results in a vision of small, networked devices distributed throughout the environment. Challenges include system design, modeling, and interfaces. Devices can be tabs, pads, or boards. Ubiquitous computing aims to manage information efficiently and effortlessly with smart environments and convenient access to information. However, privacy and security are major concerns as ubiquitous systems can continuously monitor users' actions and gather extensive personal data. Notifications, access controls, and proportionate security are important principles to address these issues.
Ubiquitous computing involves embedding microprocessors in everyday objects to allow them to communicate information. This results in a vision of small, networked devices distributed throughout the environment. Challenges include system design, modeling, and interfaces. Devices can be tabs, pads, or boards. Ubiquitous computing aims to manage information efficiently and effortlessly with smart environments and convenient access to information. However, privacy and security are major concerns as ubiquitous systems can continuously monitor users' actions and gather extensive personal data. Notifications, access controls, and proportionate security are important principles to address these issues.
Ubiquitous computing (ubicomp) refers to computers integrated into everyday objects and activities. The goal is to create an environment where connectivity between devices is always available but unobtrusive. Examples of ubicomp devices include digital audio players, RFID tags, smartphones, and interactive whiteboards. Mark Weiser is considered the father of ubiquitous computing and coined the term in the 1980s.
Mobile computing allows users to access network services from any location using portable devices. It enables connectivity and access to information anywhere and anytime. Mobile computing faces several challenges due to low bandwidth, variable connectivity, and security risks when accessing networks from untrusted locations. However, technology is constantly improving and helping to address limitations. The future of mobile computing may include greater use of artificial intelligence, integrated circuits for more compact devices, and faster computer processors.
The document discusses the history and usage of virtualization technology, provides an overview of CPU, memory, and I/O virtualization, compares the Xen and KVM virtualization architectures, and describes some Intel work to support virtualization in OpenStack including the Open Attestation service.
The document discusses pervasive computing, which refers to microprocessors being embedded everywhere and computing being available anywhere. It is enabled by technologies like mobile internet access, wireless communication, and Bluetooth. Pervasive computing allows access from any device, on any network, with any data. It aims to spread intelligence and connectivity to more or less everything, from ships and aircrafts to coffee mugs and the human body. Some principles of pervasive computing include anytime/anywhere access, physical integration between computing nodes and the physical world, and instantaneous interoperation between devices. Examples of applications include smart clothing, interactive flexible posters, and pill cameras.
In the presentations definition of SLA, its types and life cycle of SLA is discussed or explained in the session. For Live video you can listen to me on https://www.youtube.com/user/neeleshcmc
This document discusses task-based programming models for distributed computing. It defines tasks as distinct units of code that can be executed remotely. Task computing provides distribution by harnessing multiple computing nodes, unlike multithreaded computing within a single machine. The document categorizes task computing into high-performance, high-throughput, and many-task computing. It also describes popular task computing frameworks like Aneka, Condor, Globus Toolkit, and describes developing applications using the Aneka task programming model.
Virtualization allows multiple operating systems to run on a single machine by creating virtual versions of hardware resources. There are three main types of virtualization: partial, full, and para. A hypervisor manages virtual machines and allocates resources to guest operating systems. Cloud computing delivers computing as an on-demand utility over the internet by sharing resources. It provides software, platforms and infrastructure as services across public, private, hybrid and community clouds. Big data refers to massive volumes of structured and unstructured data that is difficult to process using traditional techniques and requires specialized infrastructure.
Virtualization allows multiple operating systems and applications to run on a single hardware device by dividing the resources virtually. It provides isolation, encapsulation, and interposition. There are two types of hypervisors - Type 1 runs directly on hardware and Type 2 runs on an operating system. Virtualization can be applied to servers, desktops, applications, networks, and storage to improve utilization, security, and manageability.
The document discusses the five layers of the grid protocol architecture: 1) the fabric layer which provides access to different resource types, 2) the connectivity layer which defines core communication and authentication protocols, 3) the resource layer which defines protocols for publishing, discovering, and accessing individual resources, 4) the collective layer which captures interactions across collections of resources through directory services, and 5) the application layer which comprises user applications built on top of the lower layers and operate in virtual organization environments.
The document discusses EyePhone, a proposed technology that would allow users to control a mobile phone using only their eyes. EyePhone tracks eye movement and blinks using the front-facing camera to navigate menus, select applications, and emulate mouse clicks. It works through four phases - eye detection, open eye template creation, eye tracking through template matching, and blink detection. Potential applications include an "EyeMenu" interface and monitoring driver safety in cars. The document concludes that EyePhone shows promise as a hands-free way to control mobile devices.
This document discusses different virtualization techniques used for cloud computing and data centers. It begins by outlining the needs for virtualization in addressing issues like server underutilization and high power consumption in data centers. It then covers various types of virtualization including full virtualization, paravirtualization, and hardware-assisted virtualization. The document also discusses challenges of virtualizing x86 hardware and solutions like binary translation and using modified guest operating systems to enable paravirtualization. Finally, it mentions how newer CPUs support hardware virtualization to improve the efficiency and security of virtualization.
A virtual machine (VM) is a software program or operating system that not only exhibits the behavior of a separate computer but is also capable of performing tasks such as running applications and programs like a separate computer.
Virtualization allows multiple operating systems to run simultaneously on a single physical server using a hypervisor. This reduces costs by improving hardware utilization, lowering maintenance needs, and providing continuous server uptime. There are two main hypervisor types: native hypervisors have direct access to server hardware while hosted hypervisors run within an operating system. Virtualization offers advantages like zero downtime maintenance, dynamic resource allocation, and automated backups.
The document outlines a 10-step IoT design methodology that includes purpose and requirements specification, process specification, domain modeling, information modeling, service specifications, IoT level specification, functional view specification, operational view specification, device and component integration, and application development. It then provides an example application of this methodology to design a smart home automation system for controlling lights remotely. The example walks through each step for specifying the purpose, domain model, information model, services, functional views, and developing the application and native controller components.
ABSTRACT
Cloud computing promises to significantly change the way we use computers and access and store our personal and business information. With these new computing and communications paradigms arise new data security challenges. Existing data protection mechanisms such as encryption have failed in preventing data theft attacks, especially those perpetrated by an insider to the cloud provider. For securing user data from such attacks a new paradigm called fog computing can be used. Fog Computing is a paradigm that extends Cloud computing and services to the edge of the network. Similar to Cloud, Fog provides data, compute, storage, and application services to end-users. The motivation of Fog computing lies in a series of real scenarios, such as Smart Grid, smart traffic lights in vehicular networks and software defined network .This technique can monitor the user activity to identify the legitimacy and prevent from any unauthorized user access. Here we have discussed this paradigm for preventing misuse of user data and securing information.
This document appears to be a seminar paper on embedded web technology presented by Sruthi R Babu. It includes an introduction, sections on embedded web technology basics covering embedded systems, embedded web servers, and the client-server model. It also discusses HTML, XML, explanations of embedded web technology, and applications. The paper was completed to fulfill requirements for a BTech degree and was certified by several professors from the College of Engineering Pathanapuram.
2. Distributed Systems Hardware & Software conceptsPrajakta Rane
油
This document discusses distributed system software and middleware. It describes three types of operating systems used in distributed systems - distributed operating systems, network operating systems, and middleware operating systems. Middleware operating systems provide a common set of services for local applications and independent services for remote applications. Common middleware models include remote procedure call, remote method invocation, CORBA, and message-oriented middleware. Middleware offers services like naming, persistence, messaging, querying, concurrency control, and security.
The document discusses a mid-evaluation of a major project comparing several hypervisors. It will compare Xen, KVM, VMware, and VirtualBox based on their technical differences and performance benchmarks. The benchmarks will test CPU speed, network speed, I/O speed, and performance running various server workloads. This comparison will help determine the best hypervisor for a given virtualization situation. Key factors that will be compared include OS support, security, CPU speed, network speed, I/O speed, and response times.
Virtual Machine provisioning and migration servicesANUSUYA T K
油
Cloud computing builds on technologies like service-oriented architecture, grid computing, and virtualization. It offers on-demand, pay-as-you-use computing resources through virtual machines that provide flexibility, reliability, and agility. Virtual machines enable organizations to easily manage computing resources and services through mechanisms like on-demand cloning and live migration. Virtualization has revolutionized data centers and become an essential technology for cloud computing environments by virtualizing computing resources like storage, processing power, memory, and networks.
The document discusses key concepts in Internet of Things (IoT) design including:
1) Defining IoT as physical objects connected to the internet via sensors and controllers.
2) The importance of usability (UI/UX design) and designing for both physical appearance and logical functionality.
3) Approaches like "calm technology" that engages users' peripheral attention in a subtle rather than obtrusive way.
Ubiquitous computing involves embedding microprocessors in everyday objects to allow them to communicate information. This results in a vision of small, networked devices distributed throughout the environment. Challenges include system design, modeling, and interfaces. Devices can be tabs, pads, or boards. Ubiquitous computing aims to manage information efficiently and effortlessly with smart environments and convenient access to information. However, privacy and security are major concerns as ubiquitous systems can continuously monitor users' actions and gather extensive personal data. Notifications, access controls, and proportionate security are important principles to address these issues.
Ubiquitous computing involves embedding microprocessors in everyday objects to allow them to communicate information. This results in a vision of small, networked devices distributed throughout the environment. Challenges include system design, modeling, and interfaces. Devices can be tabs, pads, or boards. Ubiquitous computing aims to manage information efficiently and effortlessly with smart environments and convenient access to information. However, privacy and security are major concerns as ubiquitous systems can continuously monitor users' actions and gather extensive personal data. Notifications, access controls, and proportionate security are important principles to address these issues.
The document discusses Project Oxygen, a research project aimed at developing technologies for pervasive and human-centered computing. It describes the challenges of creating a computing system that is embedded, nomadic, adaptable, and eternal. The project focuses on developing device technologies like intelligent spaces (E21) and mobile devices (H21), network technologies (N21), and user technologies including speech and visual interfaces. It provides examples of prototypes developed, including an intelligent room capable of voice recognition and identifying faces, as well as a mobile device. The goal of the project is to realize Mark Weiser's vision of ubiquitous computing integrated naturally into people's daily lives.
Security Attacks And Solutions On Ubiquitous Computing NetworksAhmad Sharifi
油
This document discusses security challenges in ubiquitous computing environments. It begins by defining ubiquitous computing as involving the integration of computing technology into everyday objects and environments. This allows information access from any device at any time, but also increases security risks. The document then outlines some common ubiquitous applications like smart homes. It identifies key security issues like lack of authentication, unauthorized access, and privacy concerns. Finally, it discusses challenges in ubiquitous security including how the expanded computing environment impacts traditional security methods and introduces new privacy and trust issues.
This document provides an overview of the Summer 2007 Seminar on Context-Aware and Ambient Applications at the University of Bonn. The seminar will be run like a scientific conference over three dates in April and June 2007. Topics to be covered include context-aware software architectures, indoor and outdoor location sensing, activity recognition, and security and privacy issues in context-aware systems. Students will present topics in 90-second presentations and submit papers by early June. More information can be found on the seminar website.
Understanding User Intentions in Pervasive Computing EnvironmentKarthikeyan V
油
The challenge for pervasive system developers here is to detect the user intention so as to remove any ambiguity in the users expression of a pervasive action. Understanding user intentions can be achieved by detecting the user status and the environment status. The attention data and context data thus obtained can be connected to give us the intention data. The user intention data can be helpful in enabling PCE to provide pro-active and situation-specific user support.
This document discusses context awareness and context-aware computing. It defines context as any information that can help characterize an entity's situation, including a user's environment, location, identity, and activity. Context-aware systems use context to provide relevant information and services to users. The document classifies different types of context and discusses how context-aware systems sense context, interpret it ("think"), and take appropriate actions. It also outlines some challenges in building context-aware applications, such as accurately representing and inferring context.
Software Engineering Challenges in Pervasive Computing: A reviewEditor IJCATR
油
Moving away from decades of machine-centric computing and making pervasive human-centric computing, the new
wave of computing, a reality revolutionizes the relationship between humans and computing systems. There is a growing interest
in the use of context-awareness as a technique for developing pervasive computing applications that are flexible, adaptable, and
capable of acting autonomously on behalf of users The software challenges to turn such pervasive or ubiquitous computing
environments into reality are enormous In this paper, we review some of the challenges of software engineering in pervasive
computing.
What is Ubiquitous Computing?
Ubiquitous computing (alias: Pervasive Computing) is a paradigm in which the processing of information is linked with each activity or object as encountered. It involves connecting electronic devices, including embedding microprocessors to communicate information. Devices that use ubiquitous computing have constant availability and are completely connected.
Ubiquitous computing focuses on learning by removing the complexity of computing and increases efficiency while using computing for different daily activities.
Ubiquitous computing is also known as pervasive computing, everyware and ambient intelligence.
This document discusses context awareness and context-aware systems. It begins by defining context as the surrounding environment, location, or situation that determines the meaning of an event. An entity is defined as anything relevant to the interaction between a user and an application, including the user and application themselves.
The document then classifies different types of context, including computing, user, environmental, and physical context. It explains that context awareness allows a system to sense and act upon information about its environment. Context-aware systems can take automatic action or provide intelligent assistance based on sensed context like location, time, temperature, or user identity.
Finally, the document discusses challenges in building context-aware systems and applications, such as representing context
Ubiquitous computing, also known as pervasive computing, refers to a post-desktop model of human-computer interaction where computing is integrated into everyday objects and activities in a way that is invisible to the user. The document discusses the history and definitions of ubiquitous computing, including Mark Weiser's vision of making many computers available throughout the physical environment but making them effectively invisible. It also covers related areas like augmented reality, ambient intelligence, and properties of ubiquitous computing systems like being networked, distributed, context-aware, and able to operate autonomously.
Ambiences on the-fly usage of available resources through personal devicesijasuc
油
In smart spaces such as smart homes, computation is
embedded everywhere: in toys, appliances, or the
homes infrastructure. Most of these devices provid
e a pool of available resources which the user can
take
advantage, interacting and creating a friendly envi
ronment. The inherent composability of these system
s
and other unique characteristics such as low-cost e
nergy, simplicity in module programming, and even
their small size, make them a suitable candidate fo
r dynamic and adaptive ambient systems. This resear
ch
work focuses on what is defined as an ambience, a
space with a user-defined set of computational
devices. A smart-home is modeled as a collection of
ambiences, where every ambience is capable of
providing a pool of available resources to the user
. In turn, the user is supposed to carry one or sev
eral
personal devices able to interact with the ambience
s, taking advantage of his inherent mobility. In th
is way,
the whole system can benefit from resources discove
red in the spatial proximity. A software architectu
re is
designed, which is based on the implementation of l
ow-cost algorithms able to detect and update the sy
stem
when changes in an ambience occur. Ambience middlew
are implementation works in a wide range of
architectures and OSs, while showing a negligible o
verhead in the time to perform the basic output
operations.
A survey on context aware system & intelligent MiddlewaresIOSR Journals
油
Abstract: Context aware system or Sentient system is the most profound concept in the ubiquitous computing.
In the cloud system or in distributed computing building a context aware system is difficult task and
programmer should use more generic programming framework. On the basis of layered conceptual design, we
introduce Context aware systems with Context aware middlewares. On the basis of presented system we will
analyze different approaches of context aware computing. There are many components in the distributed system
and these components should interact with each other because it is the need of many applications. Plenty
Context middlewares have been made but they are giving partial solutions. In this paper we are giving analysis
of different middlewares and comprehensive application of it in context caching.
Keywords: Context aware system, Context aware Middlewares, Context Cache
UBIQUITOUS COMPUTING Its Paradigm, Systems & Middlewarevivatechijri
油
This paper offers a survey of ubiquitous computing research which is the developing a scope that
gears communication technologies into routine life accomplishments. This study paper affords a types of the
studies that extents at the ubiquitous computing exemplar. In this paper, we present collective structure principles
of ubiquitous systems and scrutinize important developments in context-conscious ubiquitous structures. In toting,
this studies work affords a novel structure of ubiquitous computing system and an evaluation of sensors needed
for applications in ubiquitous computing. The goal of this studies work are 3-fold: i) help as a parameter for
researchers who're first-hand to ubiquitous computing and want to subsidize to this research expanse, ii) provide
a unique machine architecture for ubiquitous computing system, and iii) offer auxiliary studies ways necessary
for exceptional-of-provider assertion of ubiquitous computing..
This document summarizes and reviews several models for ubiquitous computing systems. It begins by defining ubiquitous computing and describing the need for context awareness, wireless networks, and mobility in ubiquitous environments. It then examines three specific models:
1) SenSay, a context-aware mobile phone that adapts its behavior based on the user's environment and state.
2) HOMEROS, a middleware architecture that allows flexibility for heterogeneous devices and users across three layers.
3) Mobile Gaia, a middleware for ad-hoc pervasive computing networks.
Ambient intelligence (AmI) refers to electronic environments that are sensitive and responsive to human presence. AmI aims to support users by having devices work together to automatically meet users' needs through context awareness and personalized interactions. Key technologies that enable AmI include ubiquitous computing, ubiquitous communication, and intelligent user interfaces to create a seamless experience between users and their digitally augmented surroundings. While AmI offers benefits like increased convenience, control, and efficiency, open challenges remain regarding privacy, security, complexity of modeling multiple users, and ensuring reliability of networked devices.
Presentation on Ubiqutous Computing. Describes basic aspects of this computing. How it can be deployed in our day-to-day life. applications and advantages.
Internet of Things is an idea under development. It is the future connecting the Smart devices to the Internet. Interested to know more about the current developments and the future road map of this project then this presentation is for you.
2. Identification of place lies as a generative core of architecture. Place is to architecture as meaning is to language Prof. Sharad Atre College of Architecture & Environmental Design
5. Ubiquitous/Pervasive Computing The general trend of computing is to have devices seamlessly integrated into the life of users and having services readily available to everywhere users go It is an emerging paradigm to free everyday users from manually configuring and instructing computer systems Allow us to do more, by doing less
6. Proactive/Autonomic Computing Is about building systems that can self-monitor, self-heal and self-configure (zero maintenance). Human attention devoted to interaction can be reduced so that users can focus on high-level tasks Both relate to ubiquitous computing and could use context information from environment and users to make decisions
7. Related Concepts Ambient Intelligence Intelligent interfaces acting in people-responsive environments Sentient Computing Use of sensors and resource status data to maintain and share a model view of the world Augmented Reality Everywhere Computing Physical Computing The Internet of Things (...)
9. What is Context? Context is that which surrounds, and gives meaning, to something else Context is any information that can be used to characterize the situation of an entity Typically the location, identity and state of people, groups, computational and physical objects May come from disparate sources and has a relatively transient lifetime But historic data about context is important, anyway
10. An example of a piece of relevant context information is the most common question posed when communicating on mobile phones: Where are you? Louise Barhuus Department of Design and Use of Information Technology The IT University of Copenhagen
11. Context-Aware Computing Not just deliver any service at any time, anywhere, but rather delivering the right service at the right moment Mobile computing is introducing the possibility that the physical and logical context of a user might influence the behavior of services called for Mobile computing decouples function from location User location is transparent to function Recent trends are extending this concept of context to include many other facets of the users physical environment Many sensors are being added to characterize context
12. Context-Aware Applications Must acquire context information and use it in an intelligent manner (beneficial to either the service, the user or both) In the mobile systems of today this would most likely be expressed as calls for service from either local or remote service providers The mobile user and his device becomes the service consumer Meaning arises in the course of action, is not inherent in the technology, but arises from how that technology is used This means the designer does not have absolute control, only influence Users feel less in control when using context-aware applications than when personalizing their own applications Despite this, context-aware applications are preferred over the personalization oriented ones
13. Context Domains The situation of any entity is characterized by using several informations surrounding the service consumer Historical information about any of these might also be considered Can also be deduced from interactions the user has made with services over time
14. Contextual Information Samples User identity Spatial information (location, orientation, speed, acceleration) Temporal information (time of the day, date, season of the year) Environmental information (temperature, air quality, light or noise level) Social situation (who you are with, people that are nearby) Resources that are nearby (accessible devices, networks, hosts) Availability of resources (battery, display, network, bandwidth) Physiological measurements (blood pressure, heart rate, respiration rate, muscle activity, tone of voice) Activity (talking, reading, walking, running, sleeping) Schedules and agendas
16. Enabling Technologies Processing Cheaper, smaller, faster, more energy efficient Storage Big and fast Networking Global, local, ad-hoc, low-power, high bandwidth, low latencies Displays Projection, flexible material, low power Sensors Types, speed, accuracy, price, robustness Actuators Computer controlled
17. Design Provide Services System design: which embedded system? Web server? Sensors and actuators? Naming, registration, discovery Physical/virtual mapping Mobility management, energy management Service composition, I/O matching, adaptation, environment monitoring
19. Some More Examples... Wearable Computer A t-shirt that automatically adjust the ambient temperature of the room by sensing body temperature Ambient Intelligence User presence is detected to show email in a nearby computer. This feature can be coupled with a coffee machine that senses the user to make coffee according to preferences, etc. Context-Aware Phone Only accepts calls that are important, according to user context
21. The most profound technologies are those that disappear. They weave themselves into the fabric of everyday life until they are undistinguishable from it. Mark Weiser Chief Scientist at Xerox PARC
22. Principles of Ubiquitous Computing The purpose of a computer is to help you do something else The best computer is a quiet, invisible servant The more you can do by intuition the smarter you are. The computer should extend your unconscious Technology should create calm Calm technology is that which informs but doesnt demand our focus or attention A road to Peace through global conscience
24. Context-Aware Applications Stack Physical Raw data Semantic Inference Application Physical or virtual sensor Data processing object Semantic processing object Inference object Application Users GPS GPS measurements Users latitude, longitude Services nearby the user? Notify user, execute service Components Layers Example
25. Service Inference Example Service Hotel Dish hotel service xsd:double Location xsd:double Rooms Facilities Dinning facility SnackBar Swimming pool DoubleRoom SingleRoom hotel:offers loc:latitude loc:longitude Restaurant owls:subClassOf Hotel ontology Location ontology OWL-S ontology owls:location owls:subClassOf owl:subClassOf owl:subClassOf owl:subClassOf
26. Abstract Layered Architecture for Context-Aware Systems applications storage/management preprocessing/reasoning raw data retrieval sensors Acting Subsystem Thinking Subsystem Sensing Subsystem
27. Research Issues Context Modeling & Reasoning How to build representations of context that can be processed and reasoned about by the computers Knowledge Maintenance & Sharing How to maintain consistent knowledge about the context and share that information with other systems User Privacy Protection How to give users the control of their situational information that is acquired from the hidden sensors
28. Some Ideas A repository of context knowledge can help resource-limited devices to become context aware Ontologies can help to share context knowledge, reducing the redundancy in sensing Policies can give users the control of their context information, protecting their privacy in an open environment People are willing to give up partial control if the reward in usefulness is great enough
30. Conclusions (I) Context-Aware Computing demands for lots of different knowledge fields to follow: System infrastructures, networking, security, user interfaces, embedded systems, AI, perception, speech recognition, etc. Systems integration is the key Many new and fascinating research problems are emerging
31. Conclusions (II) There is no common way to acquire and handle context Unlike regular user input, context information is distributed and arrives from heterogeneous sources The infrastructure must support the aggregation of context about entities in the environment Performance is vital Actions need to be taken in time for it to be of use to the users Very difficult to achieve near real-time User should retain control Should be able to cancel, stop and undo actions Not always possible Privacy and Security must be guaranteed The users should decide how, where, to whom and for how long their personal information is accessible