A Tree-Based Reliability Model for Composite Web Service with Common-Cause Failures

Reliability is one of the most important quality dimensions for web services Current reliability models for composite web service assume the statistical independence of its component web services, which is often not the case In this paper, we research on the reliability correlation of component web services by identifying common-cause failures (CCF) and propose a tree-based reliability model for composite web service We also present the method to estimate overall reliability of composite web service based on our reliability model Evaluation shows that our method can improve the accuracy of reliability estimation for composite web service and is particularly valuable when designing fault-tolerant service-based system.

[1]  Ee-Peng Lim,et al.  Dynamic Web Service Selection for Reliable Web Service Composition , 2008, IEEE Transactions on Services Computing.

[2]  Anne H. H. Ngu,et al.  QoS-aware middleware for Web services composition , 2004, IEEE Transactions on Software Engineering.

[3]  Vincenzo Grassi,et al.  Reliability prediction for service-oriented computing environments , 2006, IEEE Internet Computing.

[4]  Raymond A. Paul,et al.  A software reliability model for web services , 2004, IASTED Conf. on Software Engineering and Applications.

[5]  Sanjiva Weerawarana,et al.  Unraveling the Web services web: an introduction to SOAP, WSDL, and UDDI , 2002, IEEE Internet Computing.

[6]  Athman Bouguettaya,et al.  QoS Analysis for Web Service Composition , 2009, 2009 IEEE International Conference on Services Computing.

[7]  Gero Mühl,et al.  QoS aggregation for Web service composition using workflow patterns , 2004 .

[8]  Zahir Tari,et al.  On The Move to Meaningful Internet Systems 2003: OTM 2003 Workshops , 2003, Lecture Notes in Computer Science.

[9]  Mike P. Papazoglou,et al.  Service-oriented computing: concepts, characteristics and directions , 2003, Proceedings of the Fourth International Conference on Web Information Systems Engineering, 2003. WISE 2003..

[10]  Gero Mühl,et al.  QoS aggregation in Web service compositions , 2005, 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service.

[11]  Lavon B. Page,et al.  A model for system reliability with common-cause failures , 1989 .

[12]  Amit P. Sheth,et al.  Modeling Quality of Service for Workflows and Web Service Processes , 2002 .

[13]  Zhichang Qi,et al.  A Petri Net Based Approach for Reliability Prediction of Web Services , 2006, OTM Workshops.

[14]  Qingsheng Zhu,et al.  A novel reduction approach to analyzing QoS of workflow processes , 2009, Concurr. Comput. Pract. Exp..