Distributed service management based on genetic programming

  • Authors:

  • Jing Chen;Zeng-zhi Li;Yun-lan Wang

  • Affiliations:

  • Institute of Computer Architecture and Network, Xi'an Jiaotong University, Xi'an, P.R. China;Institute of Computer Architecture and Network, Xi'an Jiaotong University, Xi'an, P.R. China;Center for High Performance Computing, Northwestern Polytechnical University, Xi'an, P.R. China

  • Venue:
  • AWIC'05 Proceedings of the Third international conference on Advances in Web Intelligence
  • Year:
  • 2005

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Abstract

An architecture for online discovery quantitative model of distributed service management based on genetic programming (GP) was proposed. The GP system was capable of constructing the quantitative models online without prior knowledge of the managed elements. The model can be updated continuously in response to the changes made in provider configurations and the evolution of business demands. The GP system chose a particular subset from the numerous metrics as the explanatory variables of the model. In order to evaluate the system, a prototype is implemented to estimate the online response times for Oracle Universal Database under a TPC-W workload. Of more than 500 Oracle performance metrics, the system model choose three most influential metrics that weight 76% of the variability of response time, illustrating the effectiveness of quantitative model constructing system and model constructing algorithms.