Queuing Analysis of Cloud Load Balancing Algorithms

Santosh Kumar Majhi, Shankho Subhra Pal, Shweta Bhuyan and Sunil Kumar Dhal
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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

International Journal of Knowledge-Based Organizations (IJKBO), 2018, vol. 8, issue 1, 50-67

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.

Date: 2018
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