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Cloud Computing pp 179–208Cite as

Energy-Aware Virtual Machine Consolidation in IaaS Cloud Computing

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Part of the book series: Computer Communications and Networks ((CCN))

Abstract

With immense success and rapid growth within the past few years, cloud computing has been established as the dominant paradigm of IT industry. To meet the increasing demand of computing and storage resources, infrastructure cloud providers are deploying planet-scale data centers across the world, consisting of hundreds of thousands, even millions of servers. These data centers incur very high investment and operating costs for the compute and network devices as well as for the energy consumption. Moreover, because of the huge energy usage, such data centers leave large carbon footprints and thus have adverse effects on the environment. As a result, efficient computing resource utilization and energy consumption reduction are becoming crucial issues to make cloud computing successful. Intelligent workload placement and relocation is one of the primary means to address these issues. This chapter presents an overview of the infrastructure resource management systems and technologies and detailed description of the proposed solution approaches for efficient cloud resource utilization and minimization of power consumption and resource wastages. Different types of server consolidation mechanisms are presented along with the solution approaches proposed by the researchers of both academia and industry. Various aspects of workload reconfiguration mechanisms and existing works on workload relocation techniques are described.

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Notes

  1. 1.

    Nimbus Project. http://www.nimbusproject.org/.

  2. 2.

    vSphere ESX and ESXi, VMware Inc. http://www.vmware.com/au/products/esxi-and-esx/.

  3. 3.

    Cloud-ready Data Center Reference Architecture. Juniper Networks, Inc. http://www.juniper.net/us/en/local/pdf/reference-architectures/8030001-en.pdf.

  4. 4.

    RUBiS Benchmark, OW2 Consortium. http://rubis.ow2.org/.

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Author information

Authors and Affiliations

  1. Faculty of Information Technology, Monash University, 3842, Churchill, VIC, Australia

    Md Hasanul Ferdaus

  2. School of Information Technology, Faculty of Science, Federation University Australia, 3842, Churchill, VIC, Australia

    Manzur Murshed

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  1. Md Hasanul Ferdaus
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  2. Manzur Murshed
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Correspondence to Md Hasanul Ferdaus .

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Editors and Affiliations

  1. University of Derby, United Kingdom

    Zaigham Mahmood

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Ferdaus, M., Murshed, M. (2014). Energy-Aware Virtual Machine Consolidation in IaaS Cloud Computing. In: Mahmood, Z. (eds) Cloud Computing. Computer Communications and Networks. Springer, Cham. https://doi.org/10.1007/978-3-319-10530-7_8

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  • DOI: https://doi.org/10.1007/978-3-319-10530-7_8

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-10530-7

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