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Novel resource allocation algorithms to performance and energy efficiency in cloud computing

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Abstract

The rapid growth in demand for computational power has led to a shift to the cloud computing model established by large-scale virtualized data centers. Such data centers consume enormous amounts of electrical energy. Cloud providers must ensure that their service delivery is flexible to meet various consumer requirements. However, to support green computing, cloud providers also need to minimize the cloud infrastructure energy consumption while conducting the service delivery. In this paper, for cloud environments, a novel QoS-aware VMs consolidation approach is proposed that adopts a method based on resource utilization history of virtual machines. Proposed algorithms have been implemented and evaluated using CloudSim simulator. Simulation results show improvement in QoS metrics and energy consumption as well as demonstrate that there is a trade-off between energy consumption and quality of service in the cloud environment.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, College of Electrical and Computer Engineering, Shiraz University, Molla Sadra Ave, Shiraz, 71348-51154, Iran

    Abbas Horri, Mohammad Sadegh Mozafari & Gholamhossein Dastghaibyfard

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  1. Abbas Horri
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  2. Mohammad Sadegh Mozafari
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  3. Gholamhossein Dastghaibyfard
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Correspondence to Gholamhossein Dastghaibyfard.

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Horri, A., Mozafari, M.S. & Dastghaibyfard, G. Novel resource allocation algorithms to performance and energy efficiency in cloud computing. J Supercomput 69, 1445–1461 (2014). https://doi.org/10.1007/s11227-014-1224-8

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  • DOI: https://doi.org/10.1007/s11227-014-1224-8

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