Energy-Efficient Computation Models for Distributed Systems

Energy-Efficient Computation Models for Distributed Systems
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分布式系统的节能计算模型

DOI:
10.1109/nbis.2009.61
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发表时间:
2009
期刊:
2009 International Conference on Network-Based Information Systems
影响因子:
--
通讯作者:
M. Takizawa
M. Takizawa
中科院分区:
--
文献类型:
--
作者:
A. Aikebaier;Yan Yang;T. Enokido;M. Takizawa

文献摘要

被引文献

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信息系统由以无线网络等网络类型互连的各种类型的计算机组成。此外,信息系统正在从传统的客户端-服务器模型转向对等(P2P)模型。 P2P 系统由对等进程(peer)组成。它们是可扩展的并且完全分布式,无需集中协调器。除了开发算法以最小化计算时间和内存大小之外,讨论如何降低信息系统中计算机的总能耗变得越来越重要。低能耗 CPU 和 SSD 等存储设备目前正在架构级别进行开发。在本文中,我们不讨论每台计算机的硬件规格。我们讨论如何在宏观层面上减少多台对等计算机在 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。我们还讨论了将进程分配给对等计算机的算法,以满足截止时间约束并减少总能耗。
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.