Energy-Efficient Computation Models for Distributed Systems

2009 International Conference on Network-Based Information Systems Pub Date : 2009-08-19 DOI:10.1109/NBiS.2009.61

A. Aikebaier, Yan Yang, T. Enokido, M. Takizawa

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引用次数: 53

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.

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分布式系统的节能计算模型

信息系统由各种类型的计算机组成，这些计算机通过无线网络等网络相互连接。此外，信息系统正在从传统的客户机-服务器模型转向点对点(P2P)模型。P2P系统由对等进程(peer)组成。它们是可扩展和完全分布式的，没有集中的协调器。在信息系统中，除了开发最小化计算时间和内存大小的算法外，如何降低计算机的总能耗也变得越来越重要。低能耗的cpu和像SSD这样的存储设备现在正在架构级开发。在本文中，我们不讨论每台计算机的硬件规格。我们讨论了如何在宏观层面上降低多台对等计算机在P2P覆盖网络上执行各种程序的总能耗。我们提出了在P2P系统中实现节能计算的模型。本文还讨论了一种将进程分配给对等计算机的算法，以满足最后期限约束并降低总能耗。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2009 International Conference on Network-Based Information Systems

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