Automated runtime recovery for QoS-based service composition

  • Authors:

  • Tian Huat Tan;Manman Chen;Étienne André;Jun Sun;Yang Liu;Jin Song Dong

  • Affiliations:

  • Singapore University of Technology and Design, Singapore, Singapore;National University of Singapore, Singapore, Singapore;Université Paris 13, Paris, France;Singapore University of Technology and Design, Singapore, Singapore;Nanyang Technological University, Singapore, Singapore;National University of Singapore, Singapore, Singapore

  • Venue:
  • Proceedings of the 23rd international conference on World wide web
  • Year:
  • 2014

Quantified Score

Hi-index 0.00

Visualization

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.