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Time Based QoS Modeling and Prediction for Web Services

  • Leilei Chen
  • Jian Yang
  • Liang Zhang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7084)

Abstract

Quality of Service (QoS) prediction and aggregation for composite services is one of the key issues in service computing. Existing solutions model service QoSs either as deterministic values or probabilistic distributions. However, these works overlooked an important aspect in QoS modeling, time. Most QoS metrics, such as response time, availability, are time-dependent. We believe time variation should be explicitly reflected in QoS modeling as well as aggregation. In this paper, we propose a dynamic web service QoS model to capture the time based QoS patterns, based on which QoS of composite services are aggregated.

Keywords

Probability Density Function Component Service Composite Service Probability Mass Function Less Common Multiple 
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 2011

Authors and Affiliations

  • Leilei Chen
    • 1
  • Jian Yang
    • 2
  • Liang Zhang
    • 1
  1. 1.School of Computer ScienceFudan UniversityChina
  2. 2.Department of ComputingMacquarie UniversityAustralia

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