We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

A Comparative Study of Load Balancing Algorithms in Cloud Computing

by Reena Panwar, Bhawna Mallick
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 117 - Number 24
Year of Publication: 2015
Authors: Reena Panwar, Bhawna Mallick
10.5120/20890-3669

Reena Panwar, Bhawna Mallick . A Comparative Study of Load Balancing Algorithms in Cloud Computing. International Journal of Computer Applications. 117, 24 ( May 2015), 33-37. DOI=10.5120/20890-3669

@article{ 10.5120/20890-3669,
author = { Reena Panwar, Bhawna Mallick },
title = { A Comparative Study of Load Balancing Algorithms in Cloud Computing },
journal = { International Journal of Computer Applications },
issue_date = { May 2015 },
volume = { 117 },
number = { 24 },
month = { May },
year = { 2015 },
issn = { 0975-8887 },
pages = { 33-37 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume117/number24/20890-3669/ },
doi = { 10.5120/20890-3669 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:00:19.910356+05:30
%A Reena Panwar
%A Bhawna Mallick
%T A Comparative Study of Load Balancing Algorithms in Cloud Computing
%J International Journal of Computer Applications
%@ 0975-8887
%V 117
%N 24
%P 33-37
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Nowadays, Cloud computing has become buzzword in the Information Technology and is a next stage in the evolution of Internet, It provides very large amount of computing and storage services to users through the internet. Load Balancing is important for essential operations in cloud virtual environments. As cloud computing has been growing rapidly and many clients all over the world are demanding more services and better results, so load balancing is an essential and important research area. Many algorithms have developed for allocating client's requests to available remote nodes. Efficient load balancing ensures efficient resource utilization of resources to customers on demand basis and enhanced the overall performance of the Cloud. This paper is a brief discussion on the existing load balancing techniques in cloud computing and further compares them based on various parameters like data processing time and response time etc. The paper analyzes the result based on existing Round Robin and Throttled scheduling algorithms.

References
  1. Ali M Alakeel, “A Guide To Dynamic Load Balancing In Distributed Computer Systems”, International Journal of Computer Science and Network Security, Vol. 10 No. 6, pp. 153-160, 2010.
  2. Anthony T.Velte, Toby J.Velte, Robert Elsenpeter, Cloud Computing A Practical Approach, TATA McGRAW-HILL Edition 2010.
  3. http://en.wikipedia.org/wiki/Cloud_computing.
  4. Hamid Shoja, Hossein Nahid “A Comparative Survey On Load Balancing Algorithm In Cloud Computing” IEEE 33044.
  5. Subasish Mohapatra,K.Smruti Rekha, Subhadarshini Mohanty” Comparison of Four Popular Heuristics for Load Balancing of Virtual Machines in Cloud Computing “, International Journal of Computer Applications ,Volume 68– No.6, April 2013.
  6. Radojevic, B & Zagar.M, “Analysis of issues with load balancing algorithms in cloud environment proceedings of 34th International Convention on MIPRO, IEEE
  7. Nidhi Jain Kansal and Inderveer Chana, "Cloud Load Balancing Techniques: A Step toward Green Computing", International Journal of Computer Science Issues, Vol.9, No.1, 2012 pp.238-246.
  8. Sandeep Sharma, Sarabjeet Singh, Meenakshi Sharma, "Performance Analysis of Load Balancing Algorithms", World Academy of Science, Engineering and Technology, 2008.
  9. T. Kokilavani and D.Amalarethinam, “Load balanced min-min algorithm for static meta-task scheduling in grid computing” International Journal Computer Applications, vol. 20, no.2, 2011.
  10. Z. Bo, G. Ji, and A.Jieqing, “Cloud loading balance algorithm,” in Information Science and Engineering (ICISE), 2nd International Conference on, pp. 5001–5004, IEEE,2010.
  11. Shridhar G.Domanal and G.Ram Mohana Reddy, “Load Balancing in Cloud Computing Using Modified Throttled Algorithm”, IEEE Randles, M.Bendiab, A. T. & Lamb, D. (2008).
  12. D.A Menasc’e and P. Ngo, “Understanding Cloud Computing: Experimentation and capacity planning,” in Computer Measurement Group Conference, 2009.
  13. G. Khanna, K. Beaty, G. Kar, and A. Kochut, “Application Performance Management in Virtualized Server Environment,” in Network Operations and Management Symposium, (2006). NOMS (2006). 10th IEEE/IFIP, pp 373–381, 2006.
  14. M. Moradi, M.A. Dezfuli, M.H.Safavi, Department of Computer and IT, Engineering, Amirkabir University of Technology, Tehran, Iran, “A New Time Optimizing Probabilistic Load Balancing Algorithm in Grid Computing” IEEE Vol.1 , pp. 232-237,2010.
  15. Load Balancing computing [EB/OL], http://en.wikipedia.org.
  16. W. Bhathiya, 2009. CloudAnalyst a CloudSim-based tool for modelling and analysis of large scale cloud computing environments. MEDC Project, Computing and Distributed Systems Laboratory, University of Melbourne, Australia, pp. 1-44, June 2009.
Index Terms

Computer Science
Information Sciences

Keywords

Cloud Computing Cloud Environment Load Balancing Virtual Machines Resource allocation

Powered by PhDFocusTM