An energy-efficient adaptive resource provision framework for cloud platforms
by Dongbo Liu; Peng Xiao
International Journal of Computational Science and Engineering (IJCSE), Vol. 13, No. 4, 2016

Abstract: In cloud computing, resource provision service plays an important role for operating large-scale datacentres. Conventional resource provision policies or services mainly concentrate on optimising costs and application execution performance. In this paper, we present an integrated and adaptive resource provision framework, which is based on our previous work on performance monitor in cloud environments. In the proposed framework, several novel mechanisms are implemented, aiming at improving the energy-efficiency as well as the execution performance for cloud systems. Extensive experiments are conducted to evaluate the performance of the proposed framework in terms of different metrics. The experimental results show that the proposed framework can significantly improve the energy-efficiency metric, especially when a cloud system is in presence of intensive hybrid workloads.

Online publication date: Tue, 08-Nov-2016

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