Analysis of Load Balancing Algorithms using Cloud Analyst
Somula Ramasubbareddy1, T. Aditya Sai Srinivas2, K. Govinda3, S.S. Manivannan4, E. Swetha5

1Somula Ramasubbareddy, Department of Information Technology, VNRVJIET, JNTUH, Hyderabad (Telangana), India.
2T. Aditya Sai Srinivas, School of Computer Science and Engineering, VIT University, Vellore (Tamil Nadu), India.
3K. Govinda, School of Computer Science and Engineering, VIT University, Vellore (Tamil Nadu), India.
4S.S. Manivannan, School of Information Technology, VIT University, Vellore (Tamil Nadu), India.
5E. Swetha, Department of Computer Science and Engineering, SVCE, Tirupati (Andhra Pradesh), India.
Manuscript received on 26 March 2019 | Revised Manuscript received on 05 April 2019 | Manuscript Published on 27 April 2019 | PP: 684-687 | Volume-7 Issue-6S2 April 2019 | Retrieval Number: F11140476S219/2019©BEIESP
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Abstract: Cloud computing is emerging as a new system for dealing with large scale distributed applications over a network. Load balancing is one of the major challenges in cloud computing as it is required to evenly distribute the workload evenly across all nodes in a network. Many existing algorithms exist which provide efficient load balancing which results improper resource utilization. In this project we have performed a comparative analysis of three load balancing algorithms namely round robin algorithm, ESCE Algorithm and Throttled Load Balancing Algorithm. This learning will help in gaining understanding to design infrastructure services of the Cloud. Proper load balancing aids inmaking cloud network which consumes resources efficiently and avoids failure. Load Balancing is important for making operations efficient in distributed cloud network systems. As Cloud Computing is growing rapidly and demand for services is increasing, load balancing for the Cloud has become a prominent research area.
Keywords: Cloud Computing, Response Time, Round Robin, Throttled, ESCE.
Scope of the Article: Cloud Computing