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Online Reliability Time Series Prediction for Service-Oriented System of Systems

  • Lei Wang
  • Hongbing Wang
  • Qi Yu
  • Haixia Sun
  • Athman Bouguettaya
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8274)

Abstract

A Service-Oriented System of System (or SoS) considers system as a service and constructs a value-added SoS by outsourcing external systems through service composition. To cope with the dynamic and uncertain running environment and assure the overall Quality of Service (or QoS), online reliability prediction for SoS arises as a grand challenge in SoS research. In this paper, we propose a novel approach for component level online reliability time series prediction based on Probabilistic Graphical Models (or PGMs). We assess the proposed approach via invocation records collected from widely used real web services and experiment results demonstrate the effectiveness of our approach.

Keywords

Response Time Service Composition Probabilistic Graphical Model Conditional Probability Table Service Invocation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Lei Wang
    • 1
    • 2
  • Hongbing Wang
    • 1
  • Qi Yu
    • 3
  • Haixia Sun
    • 1
  • Athman Bouguettaya
    • 4
  1. 1.School of Computer Science and EngineeringSoutheast UniversityChina
  2. 2.Dept. of Management Science and EngineeringNanjing Forestry UniversityChina
  3. 3.College of Computing and Information SciencesRochester Institute of TechUSA
  4. 4.School of Computer Science and Information TechnologyRMITAustralia

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