On the Joint Optimization of Performance and Power Consumption in Data Centers

We model the process of a data center as a multiobjective problem of mapping independent tasks onto a set of data center machines that simultaneously minimizes the energy consumption and response time (makespan) subject to the constraints of deadlines and architectural requirements. A simple technique based on multi-objective goal programming is proposed that guarantees Pareto optimal solution with excellence in convergence process. The proposed technique also is compared with other traditional approach. The simulation results show that the proposed technique achieves superior performance compared to the min-min heuristics, and competitive performance relative to the optimal solution implemented in LINDO for small-scale problems. Keywords—Energy-efficient computing, distributed systems, multi-objective optimization.

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