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Optimized load balancing technique in cloud computing systems

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Nagaraj. M 1, *, Trimuke Digambar 2 and Ameena Firdous Nikhat 1

1 Department of Computer Science and Engineering, Government Polytechnic., kalaburgi, Karnataka, India.
2 Department of Computer Science and Engineering, Government Women's Polytechnic Kalaburagi Karnataka, India.

Review Article
 

World Journal of Advanced Research and Reviews, 2019, 03(02), 111–120
Article DOI: 10.30574/wjarr.2019.3.2.0050
DOI url: https://doi.org/10.30574/wjarr.2019.3.2.0050

Received on 20 August 2019; revised on 23 September 2019; accepted on 26 September 2019

Cloud computing” is a term, which involves virtualization, distributed computing, Networking, software and web services. A cloud consists of several elements such As clients, datacenter and distributed servers. It includes fault tolerance, high availability, Scalability, flexibility, reduced overhead for users, reduced cost of ownership, on Demand services etc. Central to these issues lies the establishment of an effective load balancing algorithm. The load can be CPU load, memory capacity, delay or network load. Load Balancing is the process of distributing the load among various nodes of a distributed System to improve both resource utilization and job response time while also avoiding A situation where some of the nodes are heavily loaded while other nodes are idle or Doing very little work. Load balancing ensures that all the processor in the system or Every node in the network does approximately the equal amount of work at any instant of time. This technique can be sender initiated, receiver initiated or symmetric type (Combination of sender initiated and receiver initiated types).

Cloud computing; Load balancing; Resource allocation; Optimization algorithms; Distributed systems Scalability

https://wjarr.co.in/sites/default/files/fulltext_pdf/WJARR-2019-0050.pdf

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Nagaraj. M, Trimuke Digambar and  Ameena Firdous Nikhat.Optimized load balancing technique in cloud computing systems. World Journal of Advanced Research and Reviews, 2019, 03(02), 111–120. Article DOI: https://doi.org/10.30574/wjarr.2019.3.2.0050

Copyright © 2019 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0

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