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VMs Migration Mechanism for Underloaded Machines in Green Cloud Computing

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Intelligent Systems and Pattern Recognition (ISPR 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1589))

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Abstract

High cost of Cloud data centers’ energy consumption have inspired numerous researches to provide more efficient virtual machine (VM) management approaches. Migration of VM is one of the important VM management solutions. However, inefficient VMs migration can also increase energy consumption. Thus, it must be handled very cautiously and at least as possible. In this work, a VMs migration mechanism is proposed, particularly the VMs migration of the underloaded machines. The suggested mechanism is founded on Minimum and Maximum thresholds to not have underloaded and overloaded machines, and to have stable hosts. The objective is to reduce the energy use. Finally, we present experimentation results on the simulator: CloudSim, to show the advantages of the adopted solution.

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Author information

Authors and Affiliations

  1. LIRE Laboratory, Department of Software Technologies and Information Systems, Faculty of New Information and Communication Technologies, University of Constantine 2 - Abdelhamid Mehri, Constantine, Algeria

    Nassima Bouchareb & Nacer Eddine Zarour

Authors
  1. Nassima Bouchareb
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  2. Nacer Eddine Zarour
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Corresponding author

Correspondence to Nassima Bouchareb .

Editor information

Editors and Affiliations

  1. Larbi Tebessi University, Tebessa, Algeria

    Akram Bennour

  2. Arkansas Tech University, Russellville, AR, USA

    Tolga Ensari

  3. Digital Research Centre of Sfax, Sakiet Ezzit, Tunisia

    Yousri Kessentini

  4. Southeast Missouri State University, Cape Girardeau, MO, USA

    Sean Eom

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Bouchareb, N., Zarour, N.E. (2022). VMs Migration Mechanism for Underloaded Machines in Green Cloud Computing. In: Bennour, A., Ensari, T., Kessentini, Y., Eom, S. (eds) Intelligent Systems and Pattern Recognition. ISPR 2022. Communications in Computer and Information Science, vol 1589. Springer, Cham. https://doi.org/10.1007/978-3-031-08277-1_22

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  • DOI: https://doi.org/10.1007/978-3-031-08277-1_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-08276-4

  • Online ISBN: 978-3-031-08277-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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