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Titlebook: Context in Computing; A Cross-Disciplinary Patrick Brézillon,Avelino J. Gonzalez Book 2014 Springer Science+Business Media New York 2014 Co

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书目名称Context in Computing
副标题A Cross-Disciplinary
编辑Patrick Brézillon,Avelino J. Gonzalez
视频video
概述Provides over 30 contributions from leading researchers to create the defining work on the subject of context in computing.Focuses on a user-centric approach for modeling with context.Covers a range o
图书封面Titlebook: Context in Computing; A Cross-Disciplinary Patrick Brézillon,Avelino J. Gonzalez Book 2014 Springer Science+Business Media New York 2014 Co
描述.This volume explores how context has been and can be used in computing to model human behaviors, actions and communications as well as to manage data and knowledge. It addresses context management and exploitation of context for sharing experience across domains..The book serves as a user-centric guide for readers wishing to develop context-based applications, as well as an intellectual reference on the concept of context. It provides a broad yet deep treatment of context in computing and related areas that depend heavily on computing. The coverage is broad because of its cross-disciplinary nature but treats topics at a sufficient depth to permit a reader to implement context in his/her computational endeavors..The volume addresses how context can be integrated in software and systems and how it can be used in a computing environment. Furthermore, the use of context to represent the human dimension, individually as well as collectively is explained. Contributions also include descriptions of how context has been represented in formal as well as non-formal, structured approaches. The last section describes several human behavior representation paradigms based on the concept of cont
出版日期Book 2014
关键词Context; context aware applications; context management; context modeling; context-aware applications; co
版次1
doihttps://doi.org/10.1007/978-1-4939-1887-4
isbn_softcover978-1-4939-5576-3
isbn_ebook978-1-4939-1887-4
copyrightSpringer Science+Business Media New York 2014
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Context-Driven Testing on the Cloudion, contextual testing helps the engineers make better timely decisions. To evaluate the proposed context-based method, an experimental assessment is performed using Amazon’s Cloud. Experiment results are recorded and presented.
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Context Aware and Adaptive Systemsrovides mechanisms to acquire and record context information and provision a central store of ‘facts’ which are evaluated in rules. These rules mediate operational messages or trigger adaptations to the structure of the application.
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Contextualized Scientific Workflows in the Cloudrocess is presented to evaluate the contextualized methodology. The contextualized approach could be considered as an effective way of addressing the socio-technical issues in designing scientific workflows in the cloud.
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Context-Sensitive Trust Evaluation in Cooperating Smart Spacesyped, tested and evaluated via real user trials, in order to address the needs of CSSs. It considers context information in the trust evaluation process and it enables trust-sensitive community lifecycle and membership management; automated discovery of trusted entities; and trust-based control of p
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