2012
DOI: 10.1186/2192-1962-2-5
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A novel fault tolerant service selection framework for pervasive computing

Abstract: Background: Service selection in pervasive computing is significant as it requires identifying the best service provider based on users requirements. After identifying the best service provider, when a service is being executed, service disruptions happen due to various faults.

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Cited by 46 publications
(34 citation statements)
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“…This way, the framework can try to improve on the results of these state-of-the-art methods, which most of the time will result in comparable or better results than these individual methods. There also exist generic systems that, given a certain request, try to find compatible services [23], but these services are targeted to QoS metrics and do not try to effectively improve the results of the individual analysis services.…”
Section: Discussionmentioning
confidence: 99%
“…This way, the framework can try to improve on the results of these state-of-the-art methods, which most of the time will result in comparable or better results than these individual methods. There also exist generic systems that, given a certain request, try to find compatible services [23], but these services are targeted to QoS metrics and do not try to effectively improve the results of the individual analysis services.…”
Section: Discussionmentioning
confidence: 99%
“…As an enabler, this technology is leading to a rapid growth in both scientific and information applications that will, in turn, enable additional requirements for cloud computing technologies to be identified. These will impact academia, business, and education [4][5][6][8][9][10][11][12].…”
Section: Introductionmentioning
confidence: 99%
“…However, although such simulators have been developed, tests are conducted using limited sensor information, so that only very restricted results are obtained, or large-or small-scale networks are insufficiently treated. In addition, since simulations are basically conducted with those types of sensors that are built in simulators, these simulations are [1,2,23,24].…”
Section: Introductionmentioning
confidence: 99%