Publication Type

Conference Proceeding Article

Version

publishedVersion

Publication Date

11-2014

Abstract

Service composition uses existing service-based applications as components to achieve a business goal. The composite service operates in a highly dynamic environment; hence, it can fail at any time due to the failure of component services. Service composition languages such as BPEL provide a compensation mechanism to rollback the error. But such a compensation mechanism has several issues. For instance, it cannot guarantee the functional properties of the composite service after compensation. In this work, we propose an automated approach based on a genetic algorithm to calculate the recovery plan that could guarantee the satisfaction of functional properties of the composite service after recovery. Given a composite service with large state space, the proposed method does not require exploring the full state space of the composite service; therefore, it allows efficient selection of recovery plan. In addition, the selection of recovery plans is based on their quality of service (QoS). A QoS-optimal recovery plan allows effective recovery from the state of failure. Our approach has been evaluated on real-world case studies, and has shown promising results.

Keywords

Web Services, QoS, Service Composition, SOA, Genetic Algorithm

Discipline

Software Engineering

Research Areas

Software and Cyber-Physical Systems

Publication

Proceedings of the 23rd International World Wide Web Conference, Seoul, South Korea, 2014 April 7-11

First Page

563

Last Page

574

ISBN

9781450327442

Identifier

10.1145/2566486.2568048

Publisher

ACM

City or Country

Seoul, South Korea

Additional URL

https://doi.org/10.1145/2566486.2568048

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