Analysis of Heterogeneous Device Characteristics in Round Robin Based Load Balancing Algorithm with Closest Data Center as Service Broker Policy in Cloud
Kumar PJ1, N.Sivakumar2, J.Prabhu3, P.S.Ramesh4, Suganya P5
1Dr Kumar PJ, Assistant Professor [SG], School of Information Technology and Engineering, VIT, Vellore, Tamil Nadu.
2Dr N.Sivakumar, Assistant Professor [SG], School of Information Technology and Engineering, VIT, Vellore, Tamil Nadu.
3Dr J.Prabhu, Associate Professor , School of Information Technology and Engineering, VIT, Vellore, Tamil Nadu.
4Prof. P.S.Ramesh, Assistant Professor [SG], School of Information Technology and Engineering, VIT, Vellore, Tamil Nadu
5Prof. Suganya P, Assistant Professor , School of Information Technology and Engineering, VIT, Vellore, Tamil Nadu
Manuscript received on 30 June 2019 | Revised Manuscript received on 05 July 2019 | Manuscript published on 30 July 2019 | PP: 1627-1630 | Volume-8 Issue-9, July 2019 | Retrieval Number: I8273078919/19©BEIESP | DOI: 10.35940/ijitee.I8273.078919
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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: Load balancing is an important aspect in cloud to share load among different virtual machines running on various physical nodes. The user response time which is an important performance metric is being highly influenced by the efficient load balancing algorithm for cloud data centers. Virtual machines which are part of the cloud data centers consist of various types of physical devices. The user response time is affected significantly by the capacity of physical devices that exist as part of the data centers. Several load balancing algorithms exist in the literature to allocate task effectively on various virtual machines running in data centers. We investigate the performance of round robin based load balancing algorithm with closest data center as service broker policy in cloud data centers. We have performed a simulation with data centers that consist of devices with different physical characteristics such as memory, storage, bandwidth, processor speed and scheduling policy using Round Robin load balancing algorithm with closest data centers as service broker policy. We present the merits of heterogeneous device characteristics in reducing the user response time and the data center request service time. We used Cloud Analyst, an open source simulation tool for cloud computing environment.
Keywords: Data Centers, Virtual Machines, Load Balancing, Closest Data Center, Round Robin
Scope of the Article: Predictive Analysis