Energy-Efficient Computation Models for Distributed Systems

Abstract

Information systems are composed of various types of computers interconnected in types of networks like wireless 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 composed of peer processes (peers). They are scalable and fully distributed without centralized coordinators. It is getting more significant to discuss how to reduce the total energy consumption of computers in information systems in addition to developing algorithms to minimize the computation time and memory size. Low-energy CPUs and storage devices like SSD are now being developed at architecture level. In this paper, we do not discuss the hardware specification of each computer. We discuss how to reduce the total energy consumption of multiple peer computers to perform types of programs on P2P overlay networks at macro level. We propose models for realizing energy-efficient computation in P2P systems. We also discuss an allocation algorithm of a process to a peer computer so that the deadline constraint is satisfied and the total energy consumption is reduced.