Performance Analysis of Load Balancing Algorithms using Microsoft Windows Azure Cloud Platform
S. Thirumurugan1, D. Suresh kumar2, K. Sankar3
1S. Thirumurugan, Dept. of Computer Science, Vivekananda College, Chennai, India.
2D. Suresh Kumar, Research Scholar, Bharathidasan University, Trichy, India.
3K. Sankar, Dept. of Computer Science, Vivekananda College, Chennai, India
Manuscript received on 03 July 2019 | Revised Manuscript received on 07 July 2019 | Manuscript published on 30 August 2019 | PP: 419-428 | Volume-8 Issue-10, August 2019 | Retrieval Number: I8458078919/2019©BEIESP | DOI: 10.35940/ijitee.I8458.0881019
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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: As we are living in technology dominating era, the role of cloud computing as one of the rapidly emerging technologies is highly indispensable. This cloud computing holds load distribution concept, which is usually addressed as a challenging phenomenon, to handle multiple requests which are coming from geographically differentiated locations. There are various load balancing mechanisms exits for the effective distribution of the work load. This load balancing mechanism takes the advent of the virtualization approach on resources to optimize the utilization of the resources. In virtualization, the creation of virtual machine and mapping the same to the suitable request makes the cloud computing a prominent technology. This paper work considers various load balancing mechanisms for the allocation of resources and also shows a comparative study on them with the help of an example scenario. These load balancing algorithms are applied on applications like real-time systems and prioritized medical field related data storage system. This research work is implemented in Windows Azure Platform as Cloud Operation System under load balancing component.
Keywords: VMARLB, PBVMLB, EVMLBA.
Scope of the Article: Cloud Computing