Energy-Efficient Server Selection Algorithms for Network Applications

T. Enokido, A. Aikebaier, M. Takizawa
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引用次数: 9

Abstract

In information system, it is critical to reduce the total electrical power consumption. We have discussed a power consumption model for communication-based applications. Then, we have proposed a pair of PCB (power consumption-based) and TRB (transmission rate-based) algorithms to select a server so that the total power consumption of the servers is reduced. In addition, we showed the PCB algorithm is more useful for reducing the total power consumption in the communication-based applications. However, in the PCB algorithm, only the power consumption where a server transmits a file to a client at time T when the server starts transmitting the file is considered. The server might be transmitting files to other clients at time T. Therefore, the power consumption where the server transmits files to other clients has to be considered for enhancing the estimation of the power consumption. In this paper, we propose an extended power consumption-based (EPCB) algorithm by improving the PCB algorithm. In the evaluation, we show the total power consumption can be reduced by the EPCB algorithm compared with the PCB and TRB algorithms.
面向网络应用的节能服务器选择算法
在信息系统中,降低系统的总功耗是至关重要的。我们已经讨论了基于通信的应用程序的功耗模型。然后,我们提出了一对基于PCB(基于功耗)和TRB(基于传输速率)的算法来选择服务器,从而降低服务器的总功耗。此外,我们还证明了PCB算法对于降低基于通信的应用中的总功耗更有用。然而,在PCB算法中,只考虑服务器开始传输文件时T时刻服务器向客户端传输文件时的功耗。此时,服务器可能正在向其他客户端传输文件。因此,为了增强对功耗的估计,必须考虑服务器向其他客户端传输文件时的功耗。本文通过改进PCB算法,提出了一种扩展的基于功耗(EPCB)的算法。在评估中,我们证明了与PCB和TRB算法相比,EPCB算法可以降低总功耗。
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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