Applying Workload Shaping Toward Green Cloud Computing

  • Kim, Woongsup (Dept. of Computer & Information Communications Engineering Dongguk University)
  • Received : 2012.09.29
  • Published : 2012.11.30


Energy costs for operating and cooling computing resources in Cloud infrastructure have increased significantly up to the point where they would surpass the hardware purchasing costs. Thus, reducing the energy consumption can save a significant amount of management cost. One of major approach is removing hardware over-provisioning. In this paper, we propose a technique that facilitates power saving through reducing resource over provisioning based on virtualization technology. To this end, we use dynamic workload shaping to reschedule and redistribute job requests considering overall power consumption. In this paper, we present our approach to shape workloads dynamically and distribute them on virtual machines and physical machines through virtualization technology. We generated synthetic workload data and evaluated it in simulating and real implementation. Our simulated results demonstrate our approach outperforms to when not using no workload shaping methodology.


Cloud Computing;Traffic Shaping;Green Computing


Supported by : Dongguk Research Fund


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