Read e-book online Context in Computing: A Cross-Disciplinary Approach for PDF

By Patrick Brézillon, Avelino J. Gonzalez

ISBN-10: 1493918869

ISBN-13: 9781493918867

ISBN-10: 1493918877

ISBN-13: 9781493918874

This quantity explores how context has been and will be utilized in computing to version human behaviors, activities and communications in addition to to regulate info and data. It addresses context administration and exploitation of context for sharing event throughout domains.

The e-book serves as a user-centric advisor for readers wishing to strengthen context-based purposes, in addition to an highbrow reference at the proposal of context. It presents a vast but deep therapy of context in computing and similar parts that rely seriously on computing. The insurance is extensive due to its cross-disciplinary nature yet treats issues at a adequate intensity to allow a reader to enforce context in his/her computational endeavors.

The quantity addresses how context should be built-in in software program and platforms and the way it may be utilized in a computing surroundings. moreover, using context to symbolize the human measurement, separately in addition to jointly is defined. Contributions additionally comprise descriptions of ways context has been represented in formal in addition to non-formal, established methods. The final part describes numerous human habit illustration paradigms in keeping with the concept that of context as its relevant representational element.

The intensity and breadth of this content material is sure to supply worthy in addition to intellectually enriching details to readers of various backgrounds who've an curiosity in or are intrigued by utilizing context to help of their illustration of the true world.

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Extra resources for Context in Computing: A Cross-Disciplinary Approach for Modeling the Real World

Sample text

Select different test cases and go to the next iteration (Automated) 12. Stop when assurance of all sites is equal to 10 (Automated) 36 F. A. Batarseh Fig. 3 Amazon cloud establishing itself as an industry leader (Gartner Research 2013) The next section introduces the evaluation of CATCR. The experimentation is performed on the Amazon cloud and a Java tool that was developed in-house. 1 Experimental Process Amazon cloud is used in this experiment. Although Amazon has been facing issues with their cloud, it has established itself as an industry leader when it comes to cloud computing; Amazon’s cloud showed completeness of vision and execution (refer to Fig.

The goals of this experiment include: (1) compare Amazon’s process for assigning sites to CATCR validation and context-driven cloud management process (2) measure validation time and compare between CATCR and other non-contextual validation methods. Each test case includes an “expected result” and a “system result”. After executing any test case, if the system’s result is different from the expected result, this indicates the existence of an error in the system. This experiment is only qualitative.

The steps of validating a system using test cases start with test case generation & test case reduction—two key steps that are treated in CATCR. Reduction happens when a subset of test cases is selected from the universal set of test cases to be executed on the system under test. Results are evaluated, and then the last step is system refinement, where actions toward fixing the errors and presenting the solutions are carried out (Knauf et al. 2002, 2007). 2 Background This chapter discusses CDT, reviews the state of the art, and introduces a novel method to utilizing CDT for testing of systems built within a cloud environment.

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Context in Computing: A Cross-Disciplinary Approach for Modeling the Real World by Patrick Brézillon, Avelino J. Gonzalez

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