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
Reseach Article

A Modified Performance Oriented Approach for Load Balancing in Cloud Computing

by Anterpreet Kaur, Anurag Jain
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 131 - Number 10
Year of Publication: 2015
Authors: Anterpreet Kaur, Anurag Jain
10.5120/ijca2015907409

Anterpreet Kaur, Anurag Jain . A Modified Performance Oriented Approach for Load Balancing in Cloud Computing. International Journal of Computer Applications. 131, 10 ( December 2015), 13-16. DOI=10.5120/ijca2015907409

@article{ 10.5120/ijca2015907409,
author = { Anterpreet Kaur, Anurag Jain },
title = { A Modified Performance Oriented Approach for Load Balancing in Cloud Computing },
journal = { International Journal of Computer Applications },
issue_date = { December 2015 },
volume = { 131 },
number = { 10 },
month = { December },
year = { 2015 },
issn = { 0975-8887 },
pages = { 13-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume131/number10/23484-2015907409/ },
doi = { 10.5120/ijca2015907409 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:26:55.962823+05:30
%A Anterpreet Kaur
%A Anurag Jain
%T A Modified Performance Oriented Approach for Load Balancing in Cloud Computing
%J International Journal of Computer Applications
%@ 0975-8887
%V 131
%N 10
%P 13-16
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cloud computing is advancing with a great pace. It has been already adopted over a large user base. Easy to use and anywhere access like capabilities of cloud computing has made it attractive among other technologies. It has not only reduced the deployment cost on user side but also allowed the big companies to sell their infrastructure to reduce the installation cost for the small organization. Roots of cloud computing extends to Grid computing. Along with the features of its ancestor technologies it also carries the loopholes present in those technologies. Some of these are identified and corrected in the recent times but still there remains the need for the improvement in cloud computing. These improvements can be divided widely into two categories viz. performance and security. The work done in this paper is devoted to performance enhancement for the user of existing cloud system. There are many simulation environments available to simulate this type of work. Among these available tools cloud Analyst is having attractive GUI along with transparent control of parameters. The Cloud Analyst is used to simulate the enhancements done in the existing system. Among various components load balancing task is used for the modification and enhancement aiming to reduce the response time, computational time and cost included. The results are analyzed and compared with the existing algorithms and as observed, proposed work is one step ahead of existing techniques.

References
  1. Patidar, S., Rane, D., Jain P. (2012), ‘A Survey Paper on Cloud Computing’, Second International Conference on Advanced Computing & Communication Technologies, IEEE Computer Society.
  2. Harauz, J., Kaufinan, L., Potter, B. (2009), ‘Data Security in the World of Cloud Computing’, IEEE Security & Privacy and Reliability Societies.
  3. Jain, A., Kumar, R. (2014), ‘A Taxonomy of Cloud Computing’, International Journal of Scientific and Research, Volume 4, Issue 7, pp. 1-5.
  4. Oliveira, C. (2012), ‘Load Balancing on Virtualized Web Servers’, IEEE Computer Society, pp. 1-6.
  5. Randles, M., David, A., Bendiab, T. (2010), ‘A Comparative Study into Distributed Load Balancing Algorithms for Cloud Computing’, IEEE Computer Society, pp. 1-5.
  6. Shah, P., Shah, S. (2010), ‘Load Balancing in Distributed System’, International Journal of computer Applications, pp. 1-4.
  7. Kumar, V., Prakash, S. (2014), ‘A Load Balancing Based Cloud Computing Techniques and Challenges’, International Journal of scientific research and management (IJSRM), Volume 2, Issue5, pp. 1-8.
  8. Kapgate, D., Narnaware, M. (2013), ‘Predictive Load Balancing Strategy for reduction of Latency in Mobile Cloud Computing’, International Journal of Computer & Communication Engineering Research (IJCCER), Volume 1, Issue 1, pp. 1-5.
  9. Singh, A., Bedi, R., Gupta S. , ‘Comparative Analysis of Load Balancing Algorithms in cloud Computing’, International Journal of Advanced Technology & Engineering Research (IJATER), Volume 4, Issue 2, pp. 1-4.
  10. Kansal, N., Chana, I. (2012), ‘Cloud Load Balancing Techniques: A Step Towards Green Computing’, IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 1
  11. Mohapatra, S., Rekha, K., Mohanty S., ‘A Comparison of Four Popular Heuristics for Load Balancing of Virtual Machines in Cloud Computing’, International Journal of Computer Applications, Volume 68, pp. 1-5.
Index Terms

Computer Science
Information Sciences

Keywords

Cloud Computing Virtual Machines Cloud Service Provider Load Balancing Cloud Analyst.