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Comparative Analysis and Evaluation of Load Balancing Algorithms

by Savitri S. Sutagatti, S. G. Kulkarni
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 171 - Number 5
Year of Publication: 2017
Authors: Savitri S. Sutagatti, S. G. Kulkarni
10.5120/ijca2017915031

Savitri S. Sutagatti, S. G. Kulkarni . Comparative Analysis and Evaluation of Load Balancing Algorithms. International Journal of Computer Applications. 171, 5 ( Aug 2017), 6-11. DOI=10.5120/ijca2017915031

@article{ 10.5120/ijca2017915031,
author = { Savitri S. Sutagatti, S. G. Kulkarni },
title = { Comparative Analysis and Evaluation of Load Balancing Algorithms },
journal = { International Journal of Computer Applications },
issue_date = { Aug 2017 },
volume = { 171 },
number = { 5 },
month = { Aug },
year = { 2017 },
issn = { 0975-8887 },
pages = { 6-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume171/number5/28175-2017915031/ },
doi = { 10.5120/ijca2017915031 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:18:36.857358+05:30
%A Savitri S. Sutagatti
%A S. G. Kulkarni
%T Comparative Analysis and Evaluation of Load Balancing Algorithms
%J International Journal of Computer Applications
%@ 0975-8887
%V 171
%N 5
%P 6-11
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In today’s environment the challenging task within cloud computing is to distribute workload among all arriving requests and also balancing those requests. To improve entire system performance, a broker policy has been taken into addition which distributes workload equally with different datacenters in computing environment. A different VM load balancing algorithms will be compared along with different data center broker policies. A cloud analyst simulator, simulate these approaches and final results will be evaluated on several parameters. It covers all the feasible simulations and results will specify the finest possible combinations.

References
  1. Mohammad Reza Mesbahi, Mahnaz Hashemi,Amir Masoud Rahmani. "Performance evaluation and analysis of load balancing algorithms in cloud computing environments", 2016 Second International Conference on Web Research (ICWR), 2016
  2. Mesbahi, M., A.M. Rahmani, and A.T. Chronopoulos. Cloud light weight: “A new solution for load balancing in cloud computing”. In Data Science & Engineering (ICDSE), 2014 International Conference on. 2014.IEEE.
  3. Jadeja, Y. and K. Modi, “Cloud computing-concepts, architecture and challenges”. In Computing, Electronics and Electrical Technologies (ICCEET), 2012 International Conference on. 2012. IEEE.
  4. Jing Yao & Ju-hou He, “Load Balancing Strategy of Cloud Computing based on Artificial Bee Algorithm”, ISBN: 978-1- 4673-0893-9, Pages: 185-189, IEEE, April 2012.
  5. Ram Prasad Padhy and PGoutam Prasad Rao, ”Load balancing in cloud computing system”, Department of Computer Science and Engineering National Institute of Technology, Rourkela Rourkela-769 008, Orissa, India May, 2011.
  6. Ray, S. and A. De Sarkar: “Execution analysis of load balancing algorithms in cloud computing environment”. International Journal on Cloud Computing: Services and Architecture (IJCCSA), 2012. 2(5).
  7. Khiyaita et al,” Load Balancing Cloud Computing: State Of Art”, IEEE, 2010.
  8. Xiaona Ren, Rongheng Lin & Hua Zou, “A Dynamic Load Balancing Strategy for Cloud Computing Platform Based on Exponential Smoothing Forecast”, 978-1-61284-204-2/11, IEEE, 2011
  9. Bhathiya, Wickremasingh, ”Cloud Analyst: A CloudSim-based Visual Modeller for Analysing Cloud Computing Environments and Applications”, IEEE, 2010.
  10. Martin Randles et al.”A Comparative Study into Distributed Load Balancing Algorithms for Cloud Computing”, IEEE 24th International Conference on Advanced Information Networking and Applications Workshops, 2010.
  11. Behal, V. and A. Kumar. Cloud computing: “Performance analysis of load balancing algorithms in cloud heterogeneous environment”, In Confluence the Next Generation Information Technology Summit (Confluence), 2014 5th International Conference-. 2014. IEEE.
  12. Mohapatra, S., K. Smruti Rekha, and S. Mohanty, “A Comparison of Four Popular Heuristics for Load Balancing of Virtual Machines in Cloud Computing”, International Journal of Computer Applications, 2013.68(6): p. 33-38.
  13. Nitika, M., M. Shaveta, and M.G. Raj, “Comparative analysis of load balancing algorithms in cloud computing”. International Journal of Advanced Research in Computer Engineering & Technology, 2012. 1(3): p.120-124
  14. Nuaimi, K.A., et al. “A survey of load balancing in cloud computing”, Challenges and algorithms. In Network Cloud Computing and Applications (NCCA), 2012 Second Symposium on. 2012. IEEE.
  15. Singh, A., P. Goyal, and S. Batra, “An Optimized Round Robin Scheduling Algorithm for CPU Scheduling”,(IJCSE) International Journal on Computer Science and Engineering, 2010. 2(07): p. 2383-2385.
Index Terms

Computer Science
Information Sciences

Keywords

Cloud Computing Virtual machines Load balancing Broker policy Performance Evaluation

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