文章基本信息

标题：Computation and Transmission Rate Based Algorithm for Reducing the Total Power Consumption
本地全文：下载
作者：Tomoya Enokido ; Ailixier Aikebaier ; Makoto Takizawa 等
期刊名称：Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications
印刷版ISSN：2093-5374
电子版ISSN：2093-5382
出版年度：2011
卷号：2
期号：2
页码：1-18
出版社：Innovative Information Science & Technology Research Group
摘要：In information systems, it is critical to reduce the total electrical power consumption of computers and networks in order to realize the digital ecosystems and the green IT technologies. The extended power consumption laxity-based (EPCLB) algorithm is proposed to select a server in a set of servers so as to not only satisfy deadline constraint but also reduce the total power consumption of servers in general applications. However, each time a load balancer receives a new request, the load balancer has to collect status of each server and calculate the estimated power consumption for the request in the EPCLB algorithm. Hence, the computation and communication overhead to estimate the power consumption is large on the load balancer if the number of clients is increased. In addition, the status of each server might be changed during the estimation process. Then, it is difficult to correctly estimate the power consumption. In this paper, we newly propose an algorithm to select a server in a set of servers so that the total power consumption of servers and the overhead of a load balancer can be reduced. We evaluate the algorithm in terms of the power consumption of servers and the overhead of a load balancer compared with the EPCLB and traditional round-robin (RR) algorithms