Distributed and Parallel Databases
Transparent Fault Tolerance for Web Services Based Architectures
Euro-Par '02 Proceedings of the 8th International Euro-Par Conference on Parallel Processing
Patterns, frameworks, and middleware: their synergistic relationships
Proceedings of the 25th International Conference on Software Engineering
Adding High Availability and Autonomic Behavior to Web Services
Proceedings of the 26th International Conference on Software Engineering
Basic Concepts and Taxonomy of Dependable and Secure Computing
IEEE Transactions on Dependable and Secure Computing
A Taxonomy and Catalog of Runtime Software-Fault Monitoring Tools
IEEE Transactions on Software Engineering
Dynamo and Self-Healing BPEL Compositions
ICSE COMPANION '07 Companion to the proceedings of the 29th International Conference on Software Engineering
Non-intrusive monitoring and service adaptation for WS-BPEL
Proceedings of the 17th international conference on World Wide Web
On the Enhancement of BPEL Engines for Self-Healing Composite Web Services
SAINT '08 Proceedings of the 2008 International Symposium on Applications and the Internet
BPM'05 Proceedings of the 3rd international conference on Business Process Management
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The Web service paradigm allows for integrating heterogeneous and autonomous applications in cross-organisational systems. The fact that an integrated service is autonomous and distributed in nature presents unique challenges to its reliability. Resilience of the integrated service execution can be achieved through autonomous failure detection and recovery. However, current technologies are unable to effectively resolve the reliability problem due to the lack of high level abstractions and functionalities for Web service integration. Our research indicates there is a need for run-time monitoring, detection and recovery to ensure the correct execution of a composite service. This paper describes the current development of a framework that provides flexible reaction strategies in a Web service composition when an unexpected event is encountered.