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Fuzzy Logic Based Energy Aware VM Consolidation

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Internet and Distributed Computing Systems (IDCS 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9258))

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Abstract

Global need of computing is growing day by day and as a result cloud based services are getting more prominent for its pay-as-you-go modality. However, cloud based datacenters consume considerable amount of energy which draws negative attention. To sustain the growth of cloud computing, energy consumption is now a major concern for cloud based datacenters. To overcome this problem, cloud computing algorithm should be efficient enough to keep energy consumption low and at the same time provide desired QoS. Virtual machine consolidation is one such technique to ensure energy-QoS balance. In this research, we explored Fuzzy logic and heuristic based virtual machine consolidation approach to achieve energy-QoS balance. Fuzzy VM selection method has been proposed to select VM from an overloaded host. Additionally, we incorporated migration control in Fuzzy VM selection method. We have used CloudSim toolkit to simulate our experiment and evaluate the performance of the proposed algorithm on real-world work load traces of PlanetLab VMs. Simulation results demonstrate that the proposed method provides best performance in all performance metrics while consuming least energy.

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References

  1. Beloglazov, A., Abawajy, J., Buyya, R.: Energy-aware resource allocation heuristics for efficient management of data centers for Cloud computing. Future Gener. Comput. Syst. (FGCS) 28(5), 755–768 (2011)

    Article  Google Scholar 

  2. Beloglazov, A., Buyya, R.: Optimal online deterministic algorithms and adaptive heuristics for energy and performance efficient dynamic consolidation of virtual machines in Cloud data centers. Concurrency Comput. Pract. Experience (CCPE) 24(13), 1397–1420 (2012)

    Article  Google Scholar 

  3. Ferreto, T.C., Netto, M.A.S., Calheiros, R.N., De Rose, C.A.F.: Server consolidation with migration control for virtualized data centers. Future Gener. Comput. Syst. 27(8), 1027–1034 (2011)

    Article  Google Scholar 

  4. Beloglazov, A.: PhD Thesis: Energy-Efficient Management of Virtual Machines in Data Centers for Cloud Computing (2013). http://beloglazov.info/thesis.pdf

  5. Calheiros, R.N., Ranjan, R., Beloglazov, A., Rose, C.A.F.D., Buyya, R.: CloudSim: a toolkit for modeling and simulation of Cloud computing environments and evaluation of resource provisioning algorithms. Softw. Pract. Exp. 41(1), 23–50 (2011)

    Article  Google Scholar 

  6. CloudSim link. http://code.google.com/p/CloudSim/

  7. Monil, M.A.H., Qasim, R., Rahman, R.M.: Incorporating migration control in VM selection strategies to enhance performance. IJWA 6, 135–151 (2014)

    Google Scholar 

  8. Monil, M.A.H., Qasim, R., Rahman, R.M.: Energy-aware VM consolidation approach using combination of heuristics and migration control. In: ICDIM 2014, pp. 74–79 (2014)

    Google Scholar 

  9. Farahnakian, F., Ashraf, A., Liljeberg, P., Pahikkala, T., Plosila, J., Porres, I., Tenhunen, H.: Energy-aware dynamic VM consolidation in cloud data centers using ant colony system. In: 2014 IEEE 7th International Conference on Cloud Computing (CLOUD), pp. 104–111 (2014)

    Google Scholar 

  10. Prevost, J., Nagothu, K., Kelley, B., Jamshidi, M.: Prediction of cloud data center networks loads using stochastic and neural models. In: Proceedings of the IEEE System of Systems Engineering (SoSE) Conference, pp. 276–281, 27-30 2011

    Google Scholar 

  11. Di, S., Kondo, D., Cirne, W.: Host load prediction in a Google compute cloud with a Bayesian model. In: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC), Salt Lake City, UT, 10–16 November 2012

    Google Scholar 

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Author information

Authors and Affiliations

  1. Electrical and Computer Engineering Department, North South University, Dhaka, Bangladesh

    Mohammad Alaul Haque Monil & Rashedur M. Rahman

Authors
  1. Mohammad Alaul Haque Monil
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  2. Rashedur M. Rahman
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Corresponding author

Correspondence to Mohammad Alaul Haque Monil .

Editor information

Editors and Affiliations

  1. School of Systems Engineering, University of Reading, Reading, Berkshire, United Kingdom

    Giuseppe Di Fatta

  2. Dipartimento di Ingegneria Informatica, Modellistica, Elettronica e Sistemistica, University of Calabria Dipartimento di Ingegneria Informat, Rende, Italy

    Giancarlo Fortino

  3. School of Logistics and Engineer, University of Technology Wuhan, Wuhan, China

    Wenfeng Li

  4. CSIRO ICT, Acton, Australia

    Mukaddim Pathan

  5. School of Systems Engineering, University of Reading, Whiteknights, Reading, United Kingdom

    Frederic Stahl

  6. Dipartimento di Ingegneria Informatica, Modellistica, Elettronica e Sistemistica, University of Calabria, Rende, Italy

    Antonio Guerrieri

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Monil, M.A.H., Rahman, R.M. (2015). Fuzzy Logic Based Energy Aware VM Consolidation. In: Di Fatta, G., Fortino, G., Li, W., Pathan, M., Stahl, F., Guerrieri, A. (eds) Internet and Distributed Computing Systems. IDCS 2015. Lecture Notes in Computer Science(), vol 9258. Springer, Cham. https://doi.org/10.1007/978-3-319-23237-9_4

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  • DOI: https://doi.org/10.1007/978-3-319-23237-9_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23236-2

  • Online ISBN: 978-3-319-23237-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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