Improved Virtual Machine Allocation Strategy using Particle Swarm Optimization Algorithm

  • Authors

    • B Thirumala Rao
    • K Nandavardhini
    • K Navya
    • G Krishna Venkata Sunil
    2018-03-18
    https://doi.org/10.14419/ijet.v7i2.7.10985
  • ACO, Physical Machine, PSO, Virtual Machine,

  • Abstract

    Virtual machine position (VMP) is a critical issue in choosing most appropriate arrangement of physical machines (PMs) for an arrangement of virtual machines (VMs) in distributed computing condition. These days information concentrated applications for handling huge information are being facilitated in the cloud. Since the cloud condition gives virtualized assets to calculation, and information concentrated applications require correspondence between the registering hubs, the situation of Virtual Machines (VMs) and area of information influence the general calculation time. The essential target is to decrease cross system activity and transmission capacity use, by setting required number of VMs and information in Physical Machines (PMs) which are physically nearer. This paper exhibits and assesses by a meta-heuristic calculation in view of Parallel Computing and Optimization (PCO) which select an arrangement of adjoining PMs for setting information and VMs . In the wake of choosing the PMs, the information are duplicated to the capacity gadgets of the PMs and the required number of VMs are begun on the PMs based on their VM allotment limits. Recreation comes about demonstrate that this determination diminishes the whole of separations amongst VMs and henceforth lessens the activity fruition time.

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  • How to Cite

    Thirumala Rao, B., Nandavardhini, K., Navya, K., & Krishna Venkata Sunil, G. (2018). Improved Virtual Machine Allocation Strategy using Particle Swarm Optimization Algorithm. International Journal of Engineering & Technology, 7(2.7), 813-816. https://doi.org/10.14419/ijet.v7i2.7.10985

    Received date: 2018-04-02

    Accepted date: 2018-04-02

    Published date: 2018-03-18