Power-aware optimization for heterogeneous multi-tier clusters

• We model the problem of power management in Heterogeneous multi-tier clusters.
• We apply Generalized Benders Decomposition (GBD) to solve the optimization problem.
• Feedback control is combined in the algorithm.
• The proposed mechanism works well in both homogeneous and heterogeneous clusters.
• The algorithm reduces power consumption by up to 39.5%.

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.