1st International ICST Workshop on Green networking - Architecture, protocols and algorithms for a sustainable Internet

Research Article

Evaluation of Effect of Network Energy Consumption in Load Distribution across Data Centers

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  • @INPROCEEDINGS{10.1007/978-3-642-30376-0_37,
        author={Harumasa Tada and Makoto Imase and Masayuki Murata},
        title={Evaluation of Effect of Network Energy Consumption in Load Distribution across Data Centers},
        proceedings={1st International ICST Workshop on Green networking - Architecture, protocols and algorithms for a sustainable Internet},
        proceedings_a={SUSTAINABLE INTERNET},
        year={2012},
        month={10},
        keywords={Cloud Computing Electricity Cost Optimization Simulated Annealing},
        doi={10.1007/978-3-642-30376-0_37}
    }
    
  • Harumasa Tada
    Makoto Imase
    Masayuki Murata
    Year: 2012
    Evaluation of Effect of Network Energy Consumption in Load Distribution across Data Centers
    SUSTAINABLE INTERNET
    Springer
    DOI: 10.1007/978-3-642-30376-0_37
Harumasa Tada1, Makoto Imase2, Masayuki Murata2
  • 1: Kyoto University of Education
  • 2: Osaka University

Abstract

Recently, the consumption of a considerable amount of energy by data centers has become a serious problem, and there are many researches aiming at the reduction of this energy consumption. However, previous researches intend to reduce only the energy consumed inside data centers. To the best of our knowledge, there are few researches on load distributuion that focus on the network energy consumption arising from the communication across data centers. In this study, we consider the energy consumption of the network as well as that of the data centers in the request distribution across geographically distributed data centers. By using various conditions, we calculate the overall energy consumption of two request distribution policies—one respects the network energy consumption, and the other does not. By comparing these two policies, we examine the condition under which the network energy consumption is worth considering.