CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Dynamic Load Balancing In Cloud Computing using CloudSim

by Jayprakash Maltare, Balwant Prajapat
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 148 - Number 5
Year of Publication: 2016
Authors: Jayprakash Maltare, Balwant Prajapat
10.5120/ijca2016911105

Jayprakash Maltare, Balwant Prajapat . Dynamic Load Balancing In Cloud Computing using CloudSim. International Journal of Computer Applications. 148, 5 ( Aug 2016), 10-16. DOI=10.5120/ijca2016911105

@article{ 10.5120/ijca2016911105,
author = { Jayprakash Maltare, Balwant Prajapat },
title = { Dynamic Load Balancing In Cloud Computing using CloudSim },
journal = { International Journal of Computer Applications },
issue_date = { Aug 2016 },
volume = { 148 },
number = { 5 },
month = { Aug },
year = { 2016 },
issn = { 0975-8887 },
pages = { 10-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume148/number5/25752-2016911105/ },
doi = { 10.5120/ijca2016911105 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:52:30.876973+05:30
%A Jayprakash Maltare
%A Balwant Prajapat
%T Dynamic Load Balancing In Cloud Computing using CloudSim
%J International Journal of Computer Applications
%@ 0975-8887
%V 148
%N 5
%P 10-16
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Load balancing is a very important part of cloud computing which makes cloud computing more efficient and ease. Load balancing provides efficient policy to several reviews within cloud computing environment. Comprehensive balancing must get immediately into accounts two tasks. Due to this reason it is easy to implement a scheduler. The reason behind for being simple is that load balancing only mandatory information is a list of nodes, Round Robin FCFS, Equal Load share, Throttled algorithms used for load balancing, Equal load share. Each algorithm has some drawback and proposed algorithm provides effectiveness of load balancing in cloud computing. It uses two data structure one is hash map and another one is list.

References
  1. Ritu Kapur “A Cost Effective approach for Resource Scheduling in Cloud Computing” IEEE International Conference on Computer, Communication and Control (IC4-2015).
  2. Aditya Makwe , Priyesh Kanungo“Scheduling in Cloud Computing Environment Using Analytic Hierarchy Process Model” IEEE International Conference on Computer, Communication and Control (IC4-2015).
  3. Kunal Mahurkar1, Shraddha Katore2 and Suraj Bhaisade3, Pratikawale4, “Reducing Cost of Provisioning in Cloud Computing”, International Journal of Advance in Computer Science and Cloud Computing, Volume- 1, Issue- 2, nov.- 2013, pg. 6- 8.
  4. Dr. Rakesh Rathi1, Vaishali Sharma2 and Sumit Kumar Bole3, “Round Robin Data Center Selection in Single Region for Service Proximity Service Broker in Cloud Analyst” , International Journal of Computer & Technology, Volume 4 no. 2, March- April 2013, pg. no. 254- 260.
  5. Bhatiya Wickremansinghe1, Rodrigo N. Calheiros2and Dr. Rajkumar Buyya3, “CloudAnalyst: A CloudSim- based Visul Modeller for Analysing Cloud Computing Environments and Applications”, IEEE Computer Society, 2010, pp. 446-452.
  6. Pooja Samal1 and Pranati Mishra2, “Analysis of Variants in Round Robin Algorithms for Load Balancing in Cloud Computing”, (IJCSIT) International Journals of Computer Science and Information Technologies, Volume 4 (3), 2013, pg. no. 416- 419.
  7. Kunal Mahurkar1, Shraddha Katore2 and Suraj Bhaisade3, Pratikawale4, “Reducing Cost of Provisioning in Cloud Computing”, International Journal of Advance in Computer Science and Cloud Computing, Volume- 1, Issue- 2, nov.- 2013, pg. 6- 8.
  8. Dr. Rakesh Rathi1, Vaishali Sharma2 and Sumit Kumar Bole3, “Round Robin Data Center Selection in Single Region for Service Proximity Service Broker in Cloud Analyst” , International Journal of Computer & Technology, Volume 4 no. 2, March- April 2013, pg. no. 254- 260.
  9. Bhatiya Wickremansinghe1, Rodrigo N. Calheiros2and Dr. Rajkumar Buyya3, “CloudAnalyst: A CloudSim- based Visul Modeller for Analysing Cloud Computing Environments and Applications”, IEEE Computer Society, 2010, pp. 446-452.
  10. Jaspreet Kaur, “Comparison of load balancing algorithm in a Cloud”, International Journal of Engineering Research and Applications (IJERA), vol. 2, Issue 3, May- June 2012, pp. 1169- 1173.
  11. Syed Tauhid Zuheri1, Tamanna Shamrin2 and Rusia Tanbin3, Firoj Mahmud4, “An Efficient Load Balancing Approach in Cloud Environment by using Round Robin Algorithm”, International Journal of Artificial and Mechatronics, volume 1, issue 5, 2013, pp 96-99.
  12. B. Santosh Kumar1 and Dr. Latha Parthiban2, “An Implementation of Load Balancing Policy for Virtual Machines Associated with a Data Centre”, International Journal of Computer Science & Engineering Technology (IJCSET), volume 5 no. 03, March 2014, pp. 253- 261.
  13. Sonika Matele1, Dr, K James2 and Navneet Singh3, “A Study of Load Balancing Issue Among Multifarious Issues of Cloud Computing Environment”, International Journals of Emerging Technolog Computational and Applied Science (IJETCAS), volume 13- 142, 2013, pg. 236- 241.
  14. Subasish Mohapatra1, Subhadarshini2 and K. Smruti Rekha3, “Analysis of Different Varients in Round Robin Algorithms for Load Balancing in Cloud Computing”, International Journal of Computer Application, Volume 69- no. 22, may 2013, pp. 17-21.
  15. Dr Hemant S. Mahalle1, Prof Parag R. Kaver2 and Dr. Vinay Chavan3, “Load Balancing on Cloud Data Centres”, Internatinal Journal of Advanced Reserch in Computer Science and Software Engineering, volume 3, issue 1, January 2013, pp. 1- 4.
  16. Randles1, M Lamb2 and Taleb Bendiab3, “A Comparative Studyinto Distributed Load Balancing Algorithm for Cloud Computing”, Advanced Information Networking and Application Workshop (WAINA) 2010.
  17. Dr. Rajkumar Buyya, “CloudSim: a toolkit for modelling and simulation of cloud computing environments and evaluation of resource provisioning algorithm”, published online 24 august in Wiley Online Library 2010, pp. 23- 50
Index Terms

Computer Science
Information Sciences

Keywords

Cloud computing load balancing Task Scheduling Round Robin Throttled Equal Load Sharing CloudSim

Powered by PhDFocusTM