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Energy Efficient Cloud Data Center Management Based on Fuzzy Multi Criteria Decision Making

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Proceedings of the Sixth International Conference on Management Science and Engineering Management

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 185))

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Abstract

In computing cloud the ultimate goal is to get optimal performance by utilizing minimum computing resources, this can be achieved by avoiding wasting of resources as a result of under-utilization and to cut lengthy response time, due to over-utilization. Power consumption among cloud data centers is growing at a rapid pace and efficient energy management is one of the most challenging research issues. Furthermore, Virtualization and live migration of VMs among PMs Plays a vital role in data center load management. In this paper we propose and evaluate an approach for power and performance management through intelligent decisions over hotspot detection and migration time of VMs across heterogeneous PMs for mitigation of hotspot of a cloud computing data center. We used two dynamic threshold levels (peak and off-peak) load strategy to implement our decisions. The focus of this paper is to present a new method to find overloaded nodes at upper level threshold (peak load), and also perform PMs consolidation at lower-level threshold and putting idle server to sleep state, by using Best Fit Decreasing based on TOPSISone of the most efficient Multi Criteria Decision Making techniques. Finally, we perform simulation to evaluate the work and results show that proposed method brings substantial energy saving, while ensuring reliable QoS.

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Acknowledgements

This work was supported by the National High-tech Research and Development Program of China (Grant No. 2008AA04A107)

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Authors and Affiliations

  1. Department of Computer Science and Engineering, University of Electronic Science and Technology, 610054, Chengdu, People’s Republic of China

    Shahzad Alip, Siyuan Jing & Kun She

  2. Department of Computer Science and IT, The Islamia University of Bahawalpur, Bahawalpur, Pakistan

    Shahzad Alip

Authors
  1. Shahzad Alip
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  2. Siyuan Jing
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  3. Kun She
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Corresponding author

Correspondence to Shahzad Alip .

Editor information

Editors and Affiliations

  1. Sichuan University, Chengdu, China, People's Republic

    Jiuping Xu

  2. Quaid-e-Azam University, Islamabad, Pakistan

    Masoom Yasinzai

  3. , LeBow College of Business, Drexel University, Peck PSR Center 204, Philadelphia, 19104, Pennsylvania, USA

    Benjamin Lev

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© 2013 Springer-Verlag London

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Alip, S., Jing, S., She, K. (2013). Energy Efficient Cloud Data Center Management Based on Fuzzy Multi Criteria Decision Making. In: Xu, J., Yasinzai, M., Lev, B. (eds) Proceedings of the Sixth International Conference on Management Science and Engineering Management. Lecture Notes in Electrical Engineering, vol 185. Springer, London. https://doi.org/10.1007/978-1-4471-4600-1_31

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  • DOI: https://doi.org/10.1007/978-1-4471-4600-1_31

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-4599-8

  • Online ISBN: 978-1-4471-4600-1

  • eBook Packages: EngineeringEngineering (R0)

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