Survivability-oriented self-tuning of web systems

  • Authors:
  • Bihuan Chen;Xin Peng;Yijun Yu;Wenyun Zhao

  • Affiliations:
  • School of Computer Science, Fudan University, Shanghai, China;School of Computer Science, Fudan University, Shanghai, China;Department of Computing, The Open University, Milton Keynes, United Kingdom;School of Computer Science, Fudan University, Shanghai, China

  • Venue:
  • Proceedings of the 20th international conference companion on World wide web
  • Year:
  • 2011

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Abstract

Running in a highly uncertain and changing environment, Web systems cannot always provide full set of services with optim¬al quality, especially when the workload is high or failures in subsys-tems occur frequently. It is thus desirable to continuously maintain a high satisfaction level of the system value proposition, hereafter survivability assurance, while relaxing/sacrificing certain quality/functional requirements that are not crucial to the survival of the Web systems. In this paper, we propose a requirements-driven self-tuning method for survivability assurance of Web systems. Using a value-based feedback controller plus a requirements-oriented reasoner, our method makes both quality and functional requirements tradeoffs decisions at runtime.