Energy Management for Server Clusters
HOTOS '01 Proceedings of the Eighth Workshop on Hot Topics in Operating Systems
Design and validation of a performance and power simulator for PowerPC systems
IBM Journal of Research and Development
Strategies for effective use of exergy-based modeling of data center thermal management systems
Microelectronics Journal
Conserving disk energy in virtual machine based environments by amplifying bursts
Computing - Cloud Computing
Energy efficient scheduling of parallel tasks on multiprocessor computers
The Journal of Supercomputing
Review of performance metrics for green data centers: a taxonomy study
The Journal of Supercomputing
Integrated Approach to Data Center Power Management
IEEE Transactions on Computers
Electricity Cost Saving Strategy in Data Centers by Using Energy Storage
IEEE Transactions on Parallel and Distributed Systems
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Benchmarking the data centre's energy efficiency is a key step towards optimising and reducing the power consumption and the related energy costs. Power usage effectiveness PUE was coined by the members of American Green Grid as an index to measure the energy efficiency of data centres. Traditional approaches of calculating the PUE in data centres only consider the impact of the weighted time, but ignore the impact of the corresponding workload. These methods cannot accurately reflect the long-term energy efficiency of data centres. Since the power consumed by IT equipments and the temperature generated by the equipments normally grow with the increase of the workload intensity, an effective method employed to calculate the PUE of data centres has to consider the impacts of workload. In contrast to the traditional methods, this paper proposes an approach to compute the PUE by leveraging the workload fluctuation. Theoretical analysis and experimental evaluation demonstrate that the proposed approach can achieve a more accurate PUE than that of the traditional methods.