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Resource Allocation in Cloud Computing Environment using AHP Technique

Author

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  • Anil Singh

    (National Institute of Technology, Hamirpur, India)

  • Kamlesh Dutta

    (National Institute of Technology, Hamirpur, India)

  • Avtar Singh

    (National Institute of Technology, Hamirpur, India)

Abstract

Cloud Computing has changed the strategy of the way of providing different services to business and government agent as well as to sole users. Cloud Computing provides scalable and on demand services to users irrespective of their physical area. But this computing technology has many challenges. One of them is on demand resource allocation. In this paper a resource allocation method is proposed based on Analytical Hierarchy Process (AHP) called Multicriteria Preference Synthesis (MPS) method. MPS method combines many AHP synthesis methods (Additive Normalization, EigenVector, Multicriteria Synthesis etc.) to assign the priorities to the users' tasks. In MPS method Error Criteria is used to provide the consistency in providing the priorities to users' tasks if any violation is there.

Suggested Citation

  • Anil Singh & Kamlesh Dutta & Avtar Singh, 2014. "Resource Allocation in Cloud Computing Environment using AHP Technique," International Journal of Cloud Applications and Computing (IJCAC), IGI Global, vol. 4(1), pages 33-44, January.
    • Handle: RePEc:igg:jcac00:v:4:y:2014:i:1:p:33-44
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