Volume & Issue no: Volume 5, Issue 6, November - December 2016
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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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