Prediction Strategies for Proactive Management in Dynamic Distributed Systems

  • Authors:
  • Jianguo Ding;Xiaoyong Li;Ningkang Jiang;Bernd J. Kramer;Franco Davoli

  • Affiliations:
  • East China Normal University, Shanghai 200062, P. R. China;Shanghai Jiao Tong University, Shanghai 200030, P. R. China;East China Normal University, Shanghai 200062, P. R. China;FernUniversitat in Hagen, D-58084, Germany;University of Genoa, Genoa 16145, Italy

  • Venue:
  • ICDT '06 Proceedings of the international conference on Digital Telecommunications
  • Year:
  • 2006

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Abstract

In real-life distributed systems, dynamic changes are unavoidable properties because of the degeneration or improvement in system performance. Hence to understand the dynamic changes and to "catch the trend" of the changes in distributed systems will be very important for distributed systems management. In order to model the dynamic changes in distributed systems, temporal extensions of Bayesian networks are employed to address the temporal factors and to model the dynamic changes of managed entities and the dependencies between them. Furthermore, the prediction capabilities are investigated by means of the relevant inference techniques when the imprecise and dynamic management information occurs in the distributed system.