Distributed Load Balancing in Cloud using Honey Bee Optimization

S.Jyothsna

Abstract Load Balancing is a method to distribute workload across one or more servers, network interfaces, hard drives, or other computing resources. Typical data center implementations rely on large, powerful (and expensive) computing hardware and network infrastructure, which are subject to the usual risks associated with any physical device, including hardware failure, power and/or network interruptions, and resource limitations in times of high demand. Load balancing in the cloud differs from classical thinking on load balancing architecture and implementation by using commodity servers to perform the load balancing. This provides for new opportunities and economies of scale, as well as presenting its own unique set of challenges. As the scheduling problem is a NP hard problem, using heuristic optimization algorithms is the feasible solution for efficient load balancing in cloud. This paper presents the application of honey bee optimization for load balancing in cloud computing and compares with genetic and ACO algorithms. comparatively this is the most suitable algorithm as the cloud is dynamic nature. Keywords: cloud computing, load balacing, Honey bee ,Genetic Algorithm,ACO,virtual machine etc..

Title:	Distributed Load Balancing in Cloud using Honey Bee Optimization
Author Name:	S.Jyothsna
Abstract:	Abstract Load Balancing is a method to distribute workload across one or more servers, network interfaces, hard drives, or other computing resources. Typical data center implementations rely on large, powerful (and expensive) computing hardware and network infrastructure, which are subject to the usual risks associated with any physical device, including hardware failure, power and/or network interruptions, and resource limitations in times of high demand. Load balancing in the cloud differs from classical thinking on load balancing architecture and implementation by using commodity servers to perform the load balancing. This provides for new opportunities and economies of scale, as well as presenting its own unique set of challenges. As the scheduling problem is a NP hard problem, using heuristic optimization algorithms is the feasible solution for efficient load balancing in cloud. This paper presents the application of honey bee optimization for load balancing in cloud computing and compares with genetic and ACO algorithms. comparatively this is the most suitable algorithm as the cloud is dynamic nature. Keywords: cloud computing, load balacing, Honey bee ,Genetic Algorithm,ACO,virtual machine etc..
Cite this article:	S.Jyothsna , " Distributed Load Balancing in Cloud using Honey Bee Optimization " , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), Volume 5, Issue 6, November - December 2016 , pp. 102-106 , ISSN 2278-6856.
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