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Optimal Fault Tolerance Strategy Selection for Web Services

Optimal Fault Tolerance Strategy Selection for Web Services

Zibin Zheng, Michael R. Lyu
Copyright: © 2010 |Volume: 7 |Issue: 4 |Pages: 20
ISSN: 1545-7362|EISSN: 1546-5004|EISBN13: 9781613502297|DOI: 10.4018/jwsr.2010100102
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MLA

Zheng, Zibin, and Michael R. Lyu. "Optimal Fault Tolerance Strategy Selection for Web Services." IJWSR vol.7, no.4 2010: pp.21-40. http://doi.org/10.4018/jwsr.2010100102

APA

Zheng, Z. & Lyu, M. R. (2010). Optimal Fault Tolerance Strategy Selection for Web Services. International Journal of Web Services Research (IJWSR), 7(4), 21-40. http://doi.org/10.4018/jwsr.2010100102

Chicago

Zheng, Zibin, and Michael R. Lyu. "Optimal Fault Tolerance Strategy Selection for Web Services," International Journal of Web Services Research (IJWSR) 7, no.4: 21-40. http://doi.org/10.4018/jwsr.2010100102

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Abstract

Service-oriented systems are usually composed by heterogeneous Web services, which are distributed across the Internet and provided by organizations. Building highly reliable service-oriented systems is a challenge due to the highly dynamic nature of Web services. In this paper, the authors apply software fault tolerance techniques for Web services, where the component failures are handled by fault tolerance strategies. In this paper, a distributed fault tolerance strategy evaluation and selection framework is proposed based on versatile fault tolerance techniques. The authors provide a systematic comparison of various fault tolerance strategies by theoretical formulas, as well as real-world experiments. This paper also presents the optimal fault tolerance strategy selection algorithm, which employs both the QoS performance of Web services and the requirements of service users for selecting optimal fault tolerance strategy. A prototype is implemented and real-world experiments are conducted to illustrate the advantages of the evaluation framework. In these experiments, users from six different locations perform evaluation of Web services distributed in six countries, where over 1,000,000 test cases are executed in a collaborative manner to demonstrate the effectiveness of this approach.

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