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An Efficient Virtual Machine Placement via Bin Packing in Cloud Data Centers

  • Aisha Fatima
  • Nadeem JavaidEmail author
  • Tanzeela Sultana
  • Mohammed Y. Aalsalem
  • Shaista Shabbir
  • Durr-e-Adan
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 926)

Abstract

Virtual machine (VM) consolidation is an intelligent and efficient strategy to balance the load of cloud data centers. VM consolidation includes a most important subproblem, i.e., VM placement problem. The basic objective of VM placement is to minimize the use of running physical machines (PMs). An enhanced levy based particle swarm optimization algorithm with variable sized bin packing (PSOLBP) is proposed for solving VM placement problem. Moreover, the best fit strategy is also used with the variable sized bin packing problem (VSBPP). Simulations are performed to check the performance of the proposed algorithm. The proposed algorithm is compared with simple particle swarm optimization (PSO) and the hybrid of levy flight and particle swarm optimization (LFPSO). The proposed algorithm efficiently minimized the number of running PMs. Matlab is used for simulations.

Keywords

Cloud computing Particle swarm optimization Levy flight algorithm Virtual machine placement Variable sized bin packing 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Aisha Fatima
    • 1
  • Nadeem Javaid
    • 1
    Email author
  • Tanzeela Sultana
    • 1
  • Mohammed Y. Aalsalem
    • 2
  • Shaista Shabbir
    • 3
  • Durr-e-Adan
    • 4
  1. 1.COMSATS University IslamabadIslamabadPakistan
  2. 2.Farasan Networking Research Laboratory, Department of Computer Science and Information SystemJazan UniversityJazanSaudi Arabia
  3. 3.Virtual University of Pakistan, Kotli CampusAzad KashmirPakistan
  4. 4.Mohi-ud-Din Islamic University Nerian SharifAzad Jammu and KashmirPakistan

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