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Queuing Analysis of Cloud Load Balancing Algorithms

Author

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  • Santosh Kumar Majhi

    (VSS University of Technology, Department of Computer Science and Engineering, Burla, India)

  • Shankho Subhra Pal

    (VSS University of Technology, Department of Computer Science and Engineering, Burla, India)

  • Shweta Bhuyan

    (VSS University of Technology, Department of Computer Science and Engineering, Burla, India)

  • Sunil Kumar Dhal

    (Sri Sri University, Faculty of Management Studies, Cuttack, India)

Abstract

The emergence of cloud-computing and the apparent shift to this new paradigm has led to the creation of data centres that consist of hundreds of thousands of servers. The Cloud is a distributed system that helps share data and provides resources to the users. The data and the distributed resources are stored in the open environment. This paper presents a model of cloud load balancing using queuing and probability theory. A queuing cloud model is discussed with load balancing perspective. We present analysis for two servers and then extended it to n server. In addition, an optimal strategy is modelled for cloud load balancing. The analytical results are verified through numeric simulation.

Suggested Citation

  • Santosh Kumar Majhi & Shankho Subhra Pal & Shweta Bhuyan & Sunil Kumar Dhal, 2018. "Queuing Analysis of Cloud Load Balancing Algorithms," International Journal of Knowledge-Based Organizations (IJKBO), IGI Global, vol. 8(1), pages 50-67, January.
    • Handle: RePEc:igg:jkbo00:v:8:y:2018:i:1:p:50-67
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