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International Journal
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International Journal of Computer Engineering in Research Trends. Scholarly, Peer-Reviewed, Platinum Open Access and Multidisciplinary

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Improved Dynamic Load Balance Model on Gametheory for the Public Cloud

Rayapu Swathi, N.Parashuram, Dr S.Prem Kumar, ,
Affiliations
(M.Tech), CSE
Assistant Professor, Department of Computer Science and Engineering
Professor & HOD, Department of computer science and engineering, G.Pullaiah College of Engineering and Technology, Kurnool, Andhra Pradesh, India.
:NOT ASSIGNED


Abstract
Cloud computing is an enhancing technology in the field of computer science. Cloud computing is an efficient and scalable but maintaining the stability of processing several jobs in the cloud computing environment is a very complex problem with load balancing receiving much attention for researchers. Load balancing in the cloud computing surroundings has an imperative impact on the performance. Excellent load balancing makes cloud computing more efficient and improves user satisfaction. At present cloud computing is one of the utmost platforms which deliver storage of data in very lowers cost and accessible for all time over the internet. But it has more serious issue like security, load management and fault tolerance. Load balancing in the cloud computing environment has a significant influence on the presentation. The algorithm relates the game theory to the load balancing approach to increase the proficiency in the public cloud environment. This article announces an improved load balance model for the public cloud centered on the cloud segregating concept with a switch mechanism to select different approaches for different circumstances.


Citation
Rayapu Swathi,N.Parashuram,Dr S.Prem Kumar."Improved Dynamic Load Balance Model on Gametheory for the Public Cloud". International Journal of Computer Engineering In Research Trends (IJCERT) ,ISSN:2349-7084 ,Vol.2, Issue 09,pp.622-626, SEPTEMBER - 2015, URL :https://ijcert.org/ems/ijcert_papers/V2I919.pdf,


Keywords : Load Balancing, Cloud Partitioning, Load Balancing Models, Public Cloud.

References
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