Laxity-based process allocation algorithms to reduce power consumptions in peer-to-peer overlay networks

  • Authors:
  • Ailixier Aikebaier;Tomoya Enokido;Makoto Takizawa

  • Affiliations:
  • Seikei University, Kichijoji-kitamachi, Musashino-shi, Tokyo, Japan;Seikei University, Osaki, Shinagawa, Tokyo, Japan;Seikei University, Kichijoji-kitamachi, Musashino-shi, Tokyo, Japan

  • Venue:
  • Proceedings of the 7th International Conference on Advances in Mobile Computing and Multimedia
  • Year:
  • 2009

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Abstract

Information systems are composed of various types of computers interconnected in networks. In addition, information systems are being shifted from the traditional client-server model to the peer-to-peer (P2P) model. The P2P systems are scalable and fully distributed without any centralized coordination. It is getting more significant to discuss how to reduce the total electric power consumption of computers in information systems in addition to developing distributed algorithms to minimize the computation time. In this paper, we do not discuss the micro level like the hardware specification of each computer. We discuss a model to show the relation of the computation and the total power consumption of multiple peer computers to perform Web types of processes at macro level. We also discuss algorithms for allocating a process to a computer so that the deadline constraint is satisfied and the total power consumption is reduced.