DocumentCode :
2322410
Title :
Reliability Computing for Service Composition
Author :
Ding, Zuohua ; Jiang, Mingyue
Author_Institution :
Center of Math Comput. & Software Eng., Zhejiang Sci-Tech Univ., Hangzhou, China
fYear :
2009
fDate :
8-10 July 2009
Firstpage :
449
Lastpage :
450
Abstract :
Web service composition is a distributed model to construct new Web service on top of existing primitive or other composite Web services. However, current service technologies, including proposed composition languages, do not address the reliability of Web service composition. Thus it is hard to predict the system reliability. In this paper, we propose a method to compute system reliability based on service component architecture(SCA). We first present a formal service component signature model with respect to the specification of the SCA assembly model, and then propose a language-independent dynamic behaviour model for specifying the interface behaviour of the service component by port activities. Then the failure behaviors of ports are defined through the enhanced non-homogeneous Poisson process (ENHPP). Based on the semantics of ports, several rules have been generated to compute reliabilities of port expressions, thus the overall system reliability can be automatically computed.
Keywords :
Web services; software reliability; stochastic processes; Web service composition; enhanced non-homogeneous Poisson process; formal service component signature model; language-independent dynamic behaviour model; port activities; reliability computing; service component architecture; system reliability; Assembly; Character generation; Component architectures; Distributed computing; Fault tolerance; Internet; Reliability; Simple object access protocol; Software engineering; Web services; Non-Homogeneous Poisson.; Reliability; Service component architecture; Service composition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Secure Software Integration and Reliability Improvement, 2009. SSIRI 2009. Third IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3758-0
Type :
conf
DOI :
10.1109/SSIRI.2009.56
Filename :
5325333
Link To Document :
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