Energy-Efficient Management of Data Center Resources for Cloud Computing: A Vision, Architectural Elements, and Open Challenges

Cloud computing is offering utility-oriented IT services to users worldwide. on a pay-as-you-go model, it enables hosting of pervasive applications consumer, scientific, and business domains. However, data centers hosting applications consume huge amounts of energy, contributing to high costs and carbon footprints to the environment. Therefore, we need Cloud computing solutions that can not only save energy for the but also reduce operational costs. This paper presents vision, , and architectural elements for energy-efficient management of Cloud environments. We focus on the development of dynamic resource and allocation algorithms that consider the synergy between data center infrastructures (i. e. , the hardware, power units, cooling software), and holistically work to boost data center energy efficiency and. In particular, this paper proposes (a) architectural principles energy-efficient management of Clouds; (b) energy-efficient resource policies and scheduling algorithms considering quality-of-service, and devices power usage characteristics; and (c) a novel software for energy-efficient management of Clouds. We have validated our by conducting a set of rigorous performance evaluation study using the toolkit. The results demonstrate that Cloud computing model has potential as it offers significant performance gains as regards to time and cost saving under dynamic workload scenarios.