能量资源分配对云计算数据中心有效管理的启发。Cloud computing offers utility-oriented IT services to users worldwide. Based on a pay-as-you-go model,it enables hosting of pervasive applications from consumer, scientific, and business domains. However,data centers hosting Cloud applications consume huge amounts of electrical energy, contributing to highoperational costs and carbon footprints to the environment. Therefore, we need Green Cloud computingsolutions that can not only minimize operational costs but also reduce the environmental impact. Inthis paper, we define an architectural framework and principles for energy-efficient Cloud computing.
Based on this architecture, we present our vision, open research challenges, and resource provisioningand allocation algorithms for energy-efficient management of Cloud computing environments. Theproposed energy-aware allocation heuristics provision data center resources to client applications in
a way that improves energy efficiency of the data center, while delivering the negotiated Quality ofService (QoS). In particular, in this paper we conduct a survey of research in energy-efficient computingand propose: (a) architectural principles for energy-efficient management of Clouds; (b) energy-efficient
resource allocation policies and scheduling algorithms considering QoS expectations and power usagecharacteristics of the devices; and (c) a number of open research challenges, addressing which can bring substantial benefits to both resource providers and consumers. We have validated our approach by
conducting a performance evaluation study using the CloudSim toolkit. The results demonstrate that Cloud computing model has immense potential as it offers significant cost savings and demonstrates high potential for the improvement of energy efficiency under dynamic workload scenarios.