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Energy Efficient Cloud Service Provisioning: Keeping Data Center Granularity in Perspective

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Abstract

The cost of power and its associated delivery are becoming significant factors in the total expenditure of large-scale data centers. Numerous techniques have been proposed to address the energy efficiency issue in cloud systems. Recently, some efforts have been made to decentralize the cloud via distributing data centers in diverse geographical positions, at different scales. In this paper, we elaborate on the energy effectiveness of service provisioning on different cloud architectures, from a mega-data center to a nano data center, which provides the extreme decentralization in terms of cloud architecture, as well as P2P-clouds or community network clouds. We study the energy consumption through an analytical and simulation framework for video streaming and MapReduce applications.

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Authors and Affiliations

  1. Instituto Superior Técnico / INESC-ID Lisboa, Universidade de Lisboa, Lisboa, Portugal

    Leila Sharifi & Luís Veiga

  2. Computer Architecture Department, Universitat Politecnica de Catalunya, Barcelona, Spain

    Leila Sharifi, Llorenç Cerdà-Alabern & Felix Freitag

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  1. Leila Sharifi
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  2. Llorenç Cerdà-Alabern
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  3. Felix Freitag
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  4. Luís Veiga
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Correspondence to Leila Sharifi.

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Sharifi, L., Cerdà-Alabern, L., Freitag, F. et al. Energy Efficient Cloud Service Provisioning: Keeping Data Center Granularity in Perspective. J Grid Computing 14, 299–325 (2016). https://doi.org/10.1007/s10723-015-9358-3

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