Distributed Cluster Architecture for Increasing Energy Efficiency in Cluster Systems

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 centralized coordinators. 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 and memory size. Low-energy CPUs are now being developed at architecture level. 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 types of processes at macro level. We also discuss allocation algorithms of a process to a computer so that the deadline constraint is satisfied and the total power consumption is reduced.