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A Novel and Reliable Workflow for Mobile Cloud Computing System Components Substitution

Authors: Peng Wang; Shaohua Zhang; Yu Cao;

A Novel and Reliable Workflow for Mobile Cloud Computing System Components Substitution

Abstract

Reliability of mobile cloud computing system (MCS) components substitution is an important issue for troubleshooting and system upgrading. In this paper, MCS components substitution is equated to MCS service substitution based on a service-oriented architecture of MCS. Then, a reliable workflow for MCS service substitution is proposed, which consists of two parts. One is a qualitative judgment method for MCS service substitution according to the relationship between service compatibility and substitution, based on S-T Pi-calculus with space operator and time operator. The other is a series of substitution processes from the judgment results above, based on service management theory. Finally, a case study is performed to show that how to apply the workflow to ensure MCS components' reliable substitution. The experiment result demonstrates that this workflow is reasonable and feasible.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
Average
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