A Suite of Load Balancing Algorithms and Service Broker Policies for Cloud: A Quantitative Analysis with Different User Grouping Factor in Cloud
Kumar PJ1, Suganya P2, Komal Malhotra3, Payal Yadav4
1Dr Kumar PJ, Associate Professor, School of Information Technology and Engineering, VIT, Vellore, (Tamil Nadu), India.
2P Suganya , Assistant Professor, School of Information Technology and Engineering, VIT, Vellore, (Tamil Nadu), India.
3Komal Malhotra, Student of M.C.A, School of Information Technology and Engineering, VIT, Vellore, (Tamil Nadu), India.
4Payal Yadav, Student of M.C.A, School of Information Technology and Engineering, VIT, Vellore, (Tamil Nadu), India.
Manuscript received on 21 April 2019 | Revised Manuscript received on 26 May 2019 | Manuscript published on 30 May 2019 | PP: 2983-2989 | Volume-8 Issue-1, May 2019 | Retrieval Number: A1939058119/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Several load balancing algorithms available to balance load in cloud data centers along with various service broker policies to select data centers based on the origin of user request. The user response time and data center request servicing time are important metrics to analyze the performance of cloud from the user perspective. We investigate the performance of Round Robin, and throttle based load balancing algorithms along with service broker policies such as closest data center and optimize response time with different user grouping factor in cloud environment. i.e., when the user grouping factor is set as 100 and 500. We present the results of simulation with various configurations as mentioned above, performed in CloudAnalyst, an open source tool. The results obtained would help the researchers, academicians, industrialist and cloud Vendors to effectively design their applications that might be deployed in cloud.
Index Terms: Round Robin, Data Centers, Virtual Machines, Load Balancing, Cloud Computing
Scope of the Article: Cloud Computing