分布式应用中改进EPCLB算法的评价

2011 Third International Conference on Intelligent Networking and Collaborative Systems Pub Date : 2011-11-30 DOI:10.1109/INCoS.2011.88

T. Enokido, M. Takizawa

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引用次数: 0

摘要

为了降低一般类型应用中服务器的总功耗，本文讨论了基于扩展功耗宽松(EPCLB)算法。然而，每次负载平衡器接收到一个新请求时，负载平衡器必须收集每个服务器中进程和流量的计算和传输弛缓状态，并估计执行该请求所需的功耗。由于在执行请求的估计过程中可能会更改每个服务器的状态，因此很难正确估计功耗。在本文中，我们改进了EPCLB算法，以降低服务器的总功耗和负载均衡器的通信开销。我们将改进的EPCLB (IEPCLB)算法与EPCLB和轮询(RR)算法进行了比较。

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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Evaluation of the Improved EPCLB Algorithm for Distributed Applications

The extended power consumption laxity-based (EPCLB) algorithm is discussed for reducing the total power consumption of servers in general type applications in this paper. However, each time a load balancer receives a new request, the load balancer has to collect the state on computation and transmission laxities of processes and traffic in each server and estimate the power consumption to perform the request. Since the state of each server might be changed during estimation to perform the request, it is difficult to correctly estimate the power consumption. In this paper, we improve the EPCLB algorithm so that the total power consumption of servers and the communication overhead of a load balancer can be reduced. We evaluate the improved EPCLB (IEPCLB) algorithm compared with the EPCLB and round-robin (RR) algorithms.

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2011 Third International Conference on Intelligent Networking and Collaborative Systems

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