云基础设施的电源感知资源虚拟机分配策略

Ravi Shankar Jha, Punit Gupta
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引用次数: 3

摘要

云计算现在是一种趋势,并且在这些天的计算中更加流行,并被许多公司如google, amazon, Microsoft等所采用,随着云规模的增加,数据中心数量的增加,数据中心的功耗也在增加。随着数据中心负载和功耗的增加,通过数据中心的请求数量也在增加。因此,需要以具有更有效的资源利用策略和降低功耗的方式来平衡请求。最近一项关于云计算的调查显示,由于资源(处理器)的使用,服务器的功耗以线性方式增加。在不了解服务器负载的情况下,以这种方式进行请求平衡可以最大限度地提高资源利用率,但也会增加服务器上的功耗。因此,为了克服云基础设施即服务(IaaS)中的这些问题,我们提出了一种负载平衡算法,以最大限度地减少服务器上的负载、功耗和成本。与之前提出的云IaaS负载平衡算法相比,本文提出的算法在负载和功耗效率方面具有更好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Power aware resource virtual machine allocation policy for cloud infrastructure
Cloud computing is now trending and more popular in these days for the computation and adopted by many companies like google, amazon, Microsoft etc., As the cloud size increases with increase in number of data center power consumption over a data center increases. As number of request over the data center increase with increase in load and power consumption of the data center. So the requests need to be balanced in such manner which having more effective strategy for utilization of resources and reduction in power consumption. A recent survey on cloud computation shows that the power consumption of a server, increasing in a linear way due to utilization of resource (processors). Request balancing in such manner without having knowledge of load over server maximize resource utilization but also increasing power consumption at server. So to overcome these issues in cloud Infrastructure as a service (IaaS), we have proposing a load balancing algorithm to minimize the load, power consumption and cost over a server. Proposed algorithm has proven to have better performance in term of load and power efficiency as compared to previously proposed load balancing algorithm for cloud IaaS.
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