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Analysis of Different Load Balancing Algorithms in Cloud Computing

Poonam Nandal, Deepa Bura, Meeta Singh and Sudeep Kumar
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Poonam Nandal: Manav Rachna International Institute of Research and Studies, India
Deepa Bura: Manav Rachna International Institute of Research and Studies, India
Meeta Singh: Manav Rachna International Institute of Research and Studies, India
Sudeep Kumar: Government Polytechnic for Women, India

International Journal of Cloud Applications and Computing (IJCAC), 2021, vol. 11, issue 4, 100-112

Abstract: In today's world, the IT industry is emerging day by day; therefore, the need for storage and computing is increasing multifold. Cloud computing has transformed the IT sector to much greater heights by virtualizing the systems, thereby reducing cost of the hardware to greater extent. Cloud computing is based on the pay as per use policy. Due to the exponential growth in cloud computing, users demand supplementary services and improved results which makes load balancing a major challenge. Load balancing distributes the workload across multiple nodes to optimize the performance of the system. Various load balancing algorithms exist to provide better resource utilization. This paper gives a brief analysis of load balancing algorithms and also compared these algorithms on the basis of certain metrics like average response time, processing cost, and data servicing time.

Date: 2021
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International Journal of Cloud Applications and Computing (IJCAC) is currently edited by B. B. Gupta

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