Load Balancing to Save Energy in Cloud Computing

نویسندگان

  • Theodore Pertsas
  • Usman Wajid
چکیده

While load balancing techniques have been designed and evaluated for efficient resource utilization in cloud computing, achieving energy efficiency as a consequence of load balancing often does not get direct attention. In this paper we describe two load balancing algorithms that focus on balancing workload distribution among physical hosts in the cloud infrastructure. The test results presented in this paper reveal the strength and weaknesses of the algorithms. In future work we aim to analyze the impact of our load balancing on energy consumption in the cloud infrastructure.

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تاریخ انتشار 2014