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Energy-aware Server Selection Algorithms for Storage and Computation Processes

  • Atsuhiro SawadaEmail author
  • Hiroki Kataoka
  • Dilawaer Duolikun
  • Tomoya Enokido
  • Makoto Takizawa
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 2)

Abstract

Application processes like Web applications use not only CPU but also storages like HDD. In our previous studies, the algorithms to select a server in a cluster are proposed to energy-efficiently perform processes which use either CPU or storages. In this paper, we consider a more general type of process which does both the computation and accesses to storages. In this paper, we newly propose LEAG and GEAG algorithms to select servers to perform general processes in a cluster so that the total electric energy consumption of the servers can be reduced. We evaluate the LEAG and GEAG algorithms in terms of total electric energy consumption of the servers and average execution time of the processes. We show the electric energy consumed by servers can be reduced in the LEAG and GEAG algorithms.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Atsuhiro Sawada
    • 1
    Email author
  • Hiroki Kataoka
    • 1
  • Dilawaer Duolikun
    • 1
  • Tomoya Enokido
    • 2
  • Makoto Takizawa
    • 1
  1. 1.Hosei UniversityTokyoJapan
  2. 2.Rissho UniversityTokyoJapan

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