Power-aware optimization for heterogeneous multi-tier clusters

  • Authors:
  • Peijian Wang;Yong Qi;Xue Liu

  • Affiliations:
  • -;-;-

  • Venue:
  • Journal of Parallel and Distributed Computing
  • Year:
  • 2014

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Abstract

Complex web applications are usually served by multi-tier web clusters. With the growing cost of energy, the importance of reducing power consumption in server systems is now well-known and has become a major research topic. However, most existing research focused solely on homogeneous clusters. This paper addresses the challenge of power management in Heterogeneous Multi-tier Web Clusters. We apply Generalized Benders Decomposition (GBD) to decompose the global optimization problem into small sub-problems. This algorithm achieves the optimal solution in an iterative fashion. The evaluation results show that our algorithm achieves more energy conservation than the previous work.