Open Access   Article Go Back

Analysis of Cloud Computing Load Balancing Algorithms

Alok Kumar1 , Shivani Rohilla2 , Manish Bhardwaj3

Section:Review Paper, Product Type: Journal Paper
Volume-7 , Issue-2 , Page no. 359-362, Feb-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i2.359362

Online published on Feb 28, 2019

Copyright © Alok Kumar, Shivani Rohilla, Manish Bhardwaj . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

View this paper at   Google Scholar | DPI Digital Library

XML View
PDF Download

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: Alok Kumar, Shivani Rohilla, Manish Bhardwaj, “Analysis of Cloud Computing Load Balancing Algorithms,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.359-362, 2019.

MLA Style Citation: Alok Kumar, Shivani Rohilla, Manish Bhardwaj "Analysis of Cloud Computing Load Balancing Algorithms." International Journal of Computer Sciences and Engineering 7.2 (2019): 359-362.

APA Style Citation: Alok Kumar, Shivani Rohilla, Manish Bhardwaj, (2019). Analysis of Cloud Computing Load Balancing Algorithms. International Journal of Computer Sciences and Engineering, 7(2), 359-362.

BibTex Style Citation:
@article{Kumar_2019,
author = {Alok Kumar, Shivani Rohilla, Manish Bhardwaj},
title = {Analysis of Cloud Computing Load Balancing Algorithms},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {2 2019},
volume = {7},
Issue = {2},
month = {2},
year = {2019},
issn = {2347-2693},
pages = {359-362},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3668},
doi = {https://doi.org/10.26438/ijcse/v7i2.359362}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i2.359362}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3668
TI - Analysis of Cloud Computing Load Balancing Algorithms
T2 - International Journal of Computer Sciences and Engineering
AU - Alok Kumar, Shivani Rohilla, Manish Bhardwaj
PY - 2019
DA - 2019/02/28
PB - IJCSE, Indore, INDIA
SP - 359-362
IS - 2
VL - 7
SN - 2347-2693
ER -

VIEWS PDF XML
536 349 downloads 171 downloads
  
  
           

Abstract

The utilization of cloud condition is developing step by step. The private ventures are utilizing cloud for their everyday need of assets since cloud give on interest and pay per use administrations. The business which is of low spending plan and not be ready to setup wide foundation for late innovations, Distributed computing is favouring for them. As the need increments, overseeing load at cloud is the greatest test that the cloud supplier has. Conveying meet load in various hub which might be topographically at various area is serious issue. Different load adjusting calculations are there for even dissemination of load. Again stack adjusting will enhance the parameters like cost, reaction time, through put and so forth. Too Load adjusting is a major perspective as far as power use what`s more, asset use.

Key-Words / Index Term

Cloud Computing, Round Robin, Throttled, K-mean, Firefly, Distributed

References

[1] N. J. Kansal, “Cloud Load Balancing Techniques: A Step Towards Green Computing”, IJCSI International Journal Of Computer Science Issues, ISSN (Online): 1694-0814, vol. 9, Issue 1, no. 1,pp. 238-246, 2012.
[2] M. Sharma, P. Sharma and S. Sharma, “Efficient Load Balancing Algorithm in VM Cloud Environment”, IJCST, vol. 3, Issue 1, January-March, 2012.
[3] I. Psoroulas, I. Anagnostopoulos, V. Loumos and E. Kayafas, “A Study of the Parameters Concerning Load Balancing Algorithms”, IJCSNS International Journal of Computer Science and Network Security, vol. 7, no. 4, pp. 202-214, 2007 .
[4] B. Wickremasinghe, R. N. Calheiros and R. Buyya, “CloudAnalyst: A CloudSim-based Visual Modeller for Analyzing Cloud Computing Environments and Applications”, 20-23, pp. 446-452, 2012.
[5] T. Desai. “A survey of various load balancing techniques and challenges in cloud computing” International Journals of scientific and technology research volume 2, Issue11,Nov 2013.
[6] A. K. Sidhu. “Analysis of load balancing techniques in cloud computing”. International Journal of computers & technology volume 4 No. 2, March-April, 2013, ISSN 2277-3061.
[7] O.M. Elzeki, “Improved Max-Min Algorithm in Cloud Computing”. International Journal of Computer Applications (0975-8887) Volume 50-No.12, July 2012.
[8] N. Xoxa, M. Zotaj, I. Tafa, and J. Fejzaj, “Simulation of First Come First Served (FCFS) and Shortest Job First (SJF) Algorithms,” IJCSN -International J. Comput. Sci. Netw. ISSN, vol. 3, no. 6, pp. 2277–5420, 2014.
[9] N. R. C. Manoranjan Dash, Amitav Mahapatra, “Cost Effective Selection of Data Center in Cloud Environment,” Spec. Issue Int. J. Adv. Comput. Theory Eng., vol. 2, no. 1, pp. 2319–2526, 2013.
[10] A. M. Alakeel, “A guide to dynamic load balancing in distributed computer systems,” Int. J. Comput. Sci. Netw. Secur., vol. 10, no. 6, pp. 153–160, 2010.
[11] B. Patel and S. Patel,“Various Load Balancing Algorithms in cloud computing”, IJARIIE-ISSN (O)-2395-4396, Vol-1 Issue-2 2015.
[11] R. Buyya, R. Ranjan and R. N. Calheiros on “InterCloud: Utility-Oriented Federation of Cloud Computing Environments for Scaling of Application Services”, ICA3PP 2010, Part I, LNCS 6081, pp. 13–31, 2010.
[12] S. Dhaka and R. Garg on“Review of resource scheduling in cloud computing”, International journal of Enhanced Research in Management & ComputerApplications.ISSN:2319-7471, Vol.4Issue 7, July-2015.
[13] Md. I. Alam, M. Pandey and S. S. Rautaray on “A Comprehensive Survey on Cloud Computing”, I.J. Information Technology and Computer Science, 2015, 02, 68-79 Published Online January 2015 in MECS (http://www.mecs-press.org/) DOI: 10.5815/ijitcs.2015.02.09.
[14] V. Venkatesa Kumar, R. Revathi and M. N. Rajkumar on “an assessment on various load balancing techniques in cloud computing”, IJAICT Volume 1, Issue 8, December 2014 ISSN 2348 – 9928, Doi:01.0401/ijaict.2014.08.01 Published on 05 (01) 2015.
[15] K. Purba and N. Bhagat on “A Review on Load Balancing Algorithm in Cloud Computing”, SSRG International Journal of Computer Science and Engineering (SSRG-IJCSE) – volume1 issue10 Dec 2014, ISSN: 2348 – 8387.
[16] G. Patel, R. Mehta and U. Bhoi on “Enhanced Load Balanced Min-Min algorithm for Static Meta Task Scheduling in Cloud Computing”, 3rd International Conference on Recent Trends in Computing 2015 (ICRTC-2015).