Queuing Analysis of Cloud Load Balancing Algorithms

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Author(s): 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)and Sunil Kumar Dhal (Sri Sri University, Faculty of Management Studies, Cuttack, India)
Copyright: 2021
Pages: 22
Source title: Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-7998-5339-8.ch034

Keywords: Distributed Computing / Information Science Reference / Knowledge Management and Library Science / Systems and Software Engineering

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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.

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