An Adaptive Load Balancing Queue-Based Resource Allocation Algorithm in Cloud Computing Environment

Abstract

Load balancing provides a better approach to distribute workloads at different virtual machines in different data center. In cloud computing improves the distributions of workloads across multiple cloud computing resources such as a computer, computer clusters, network links, central processing unit or disk drives. The aim of load balancing is to optimize maximum throughput, minimum response time, resource use and avoid overload on any single resource. Using multiple components with load balancing instead of single component may increase reliability and availability through redundancy. Cloud computing is one of the greatest platforms which provides high user satisfaction ratio and optimize and distribute load at different virtual machine according to client requirements.

Authors and Affiliations

Jyoti Patharia, Rakesh Rathi, Reshma Kodwani

Keywords

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  • EP ID EP284990
  • DOI 10.30991/IJMLNCE.2017v01i02.001
  • Views 108
  • Downloads 0

How To Cite

Jyoti Patharia, Rakesh Rathi, Reshma Kodwani (2017). An Adaptive Load Balancing Queue-Based Resource Allocation Algorithm in Cloud Computing Environment. International Journal of Machine Learning and Networked Collaborative Engineering, 1(2), 48-59. https://europub.co.uk/articles/-A-284990