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Resource utilization enhancemnet through live virtual machine migration in cloud using ant colony optimization algorithm

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Abstract

Cloud computing offers unlimited computational resources which are ready to use from anywhere, anytime on request. The achievement of maximized utilization of computational resources (physical and virtual) and minimized energy consumption of resources are goals of proposed system. The proposed system provides dynamic and energy efficient live VM (virtual machine) migration approach. This system reduces wastage of power by initiating sleep mode of idle physical machines results into energy saving. We propose a system consist with seven modules. (1) Resource monitor analyses energy consumption of resources. (2) Capacity distributor distributes maximum and minimum capacity for the physical machines. (3) Task allocator determines overloaded servers. (4) Optimizer analyses load on physical machine using ant colony optimization algorithm (5) Local Migration Agent calculates load of VMs to be migrated and select appropriate physical server. (6) Migration Orchestrator migrates the VM cosidering load. (7) Energy Manager initiates sleep mode for idle physical machine(PM)

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Authors and Affiliations

  1. Department of Computer Science & Engineering, Annasaheb Dange College of Engineering & Technology, Ashta, India

    Sandeep G. Sutar & Pallavi J. Mali

  2. OOPRA IT Solutions PVT Ltd, Pune, India

    Amruta Y. More

Authors
  1. Sandeep G. Sutar
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  2. Pallavi J. Mali
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  3. Amruta Y. More
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Correspondence to Sandeep G. Sutar.

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Sutar, S.G., Mali, P.J. & More, A.Y. Resource utilization enhancemnet through live virtual machine migration in cloud using ant colony optimization algorithm. Int J Speech Technol 23, 79–85 (2020). https://doi.org/10.1007/s10772-020-09682-2

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  • DOI: https://doi.org/10.1007/s10772-020-09682-2

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