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Performance Evaluation of Large Scaled Applications using Different Load Balancing Tactics in Cloud Computing
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 76 - Number 14 |
| Year of Publication: 2013 |
| Authors: Minu Bala, Devanand |
10.5120/13315-0904
|
Minu Bala, Devanand . Performance Evaluation of Large Scaled Applications using Different Load Balancing Tactics in Cloud Computing. International Journal of Computer Applications. 76, 14 ( August 2013), 17-22. DOI=10.5120/13315-0904
Abstract
There is no doubt that workload distribution in cloud computing is one of the most important factors that regulates and dictates, directly or indirectly, its behavior and affects system performance. But geographical location of the datacenter and the user group is also an important factor that affects the overall performance of the system. This paper represents the performance analysis of three load balancing policies in combination with different broker policies for large-scaled applications using different infrastructural environments. The study has been made using CloudAnalyst: A CloudSim-based tool for modeling and analysis of large scale cloud computing environments. Experimental results reveal that large scaled software systems like FACEBOOK, TWITTER, ORKUT and e-commerce applications etc. can minimize their costs and improve service quality to the end users by making a right choice of service provider in the cloud market. The cloud service providers can also optimize their processing time by applying a best resource provisioning policy.
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