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Reseach Article

An Efficient Distributed Dynamic Load Balancing Method based on Hybrid Approach in Cloud Computing

by Sandeep Rai, Neha Sagar, Ram Sahu
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 169 - Number 9
Year of Publication: 2017
Authors: Sandeep Rai, Neha Sagar, Ram Sahu
10.5120/ijca2017914876

Sandeep Rai, Neha Sagar, Ram Sahu . An Efficient Distributed Dynamic Load Balancing Method based on Hybrid Approach in Cloud Computing. International Journal of Computer Applications. 169, 9 ( Jul 2017), 16-21. DOI=10.5120/ijca2017914876

@article{ 10.5120/ijca2017914876,
author = { Sandeep Rai, Neha Sagar, Ram Sahu },
title = { An Efficient Distributed Dynamic Load Balancing Method based on Hybrid Approach in Cloud Computing },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2017 },
volume = { 169 },
number = { 9 },
month = { Jul },
year = { 2017 },
issn = { 0975-8887 },
pages = { 16-21 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume169/number9/28013-2017914876/ },
doi = { 10.5120/ijca2017914876 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:17:15.550047+05:30
%A Sandeep Rai
%A Neha Sagar
%A Ram Sahu
%T An Efficient Distributed Dynamic Load Balancing Method based on Hybrid Approach in Cloud Computing
%J International Journal of Computer Applications
%@ 0975-8887
%V 169
%N 9
%P 16-21
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cloud Computing shares data between cloud users over the internet and provides it to different resources. There are many challenges faced in cloud computing. The main one is Load balancing .Many researchers have been working on load balancing but still a lot of work has to be done to provide efficient & optimal load balancing method. In this dissertation we are proposing a new hybrid algorithm, which is based on distributed and dynamic load balancing. The basic idea behind the EDLBHA is to identify unused machines and resources earlier in shortest access time and also adding a new dynamic balancing parameter, which is based on distributed priority load distribution with dynamic load partitioning. The proposed EDLBHA method is compared with existing Load balancing algorithm with Cloud Simulator. Simulation results clearly shows that our proposed EDLBHA perform outstanding over existing algorithms in term of various performance measurement parameters such as waiting time, turnaround time and throughput

References
  1. Shridhar G.Damanal and G. Ram Mahana Reddy,” Optimal Load Balancing in Cloud Computing By Efficient Utilization of Virtual Machines”,978-1-4799-3635-9/14,IEEE 2014,PP 97-103.
  2. Gulshan Soni, Mala Kalra” A Novel Approach for Load Balancing in Cloud Data Center”, 978-1-4799-2572-8/14, IEEE 2014, PP 807-813.
  3. Subhadra Bose Shaw, Dr. A.K. Singh,” A Survey on Scheduling and Load Balancing Techniques in Cloud Computing Environment”, Published in 5th International Conference on Computer and Communication Technology (ICCCT), 978-1-4799-6758-2/14,IEEE 2014, PP 87-96.
  4. Tushar Desai, Jignesh Prajapati,” A Survey of Various Load Balancing Techniques and Challenges in Cloud Computing”, published in International journal of scientific & technology research volume 2, issue 11, November 2013,PP 158-162.
  5. Soumya Ray and Ajanta De Sarkar,” Execution analysis of load balancing Algorithms in cloud computing Environment”, International Journal on Cloud Computing: Services and Architecture (IJCCSA),Vol.2, No.5, October 2012,pp 78-98.
  6. Ajay Gulati, Ranjeev. K. Chopra,” Dynamic Round Robin for Load Balancing in a Cloud Computing”, IJCSMC, Vol. 2, Issue. 6, June 2013, pp.274 – 278.
  7. Ranjan Kumar , G.Sahoo, “Cloud Computing Simulation Using CloudSim”, International Journal of Engineering Trends and Technology (IJETT) – Volume 8 Number 2- Feb 2014,pp 82-87.
  8. Soumya Ray and Ajanta De Sarkar,” Execution analysis of load balancing Algorithms in cloud computing Environment”, International Journal on Cloud Computing: Services and Architecture (IJCCSA), Vol.2, No.5, October 2012, pp 183-196.
  9. Tushar Desai, Jignesh Prajapati,” A survey of various load balancing techniques and challenges in cloud computing”, International journal of scientific &technology research volume 2, issue 11, November 2013,PP 158-162.
  10. Rakesh Kumar Mishra ,Sreenu Naik Bhukya,” Service Broker Algorithm for Cloud-Analyst”,International Journal of Computer Science and Information Technologies, Vol. 5 (3), 2014,3957-3962.
  11. Ms Jayshri Damodar Pagare, Dr. Nitin A Koli,” Design and simulate cloud computing environment using cloudsim”, Int.J. Computer Technology &Applications, Vol 6 (1),35-42.
  12. Klaithem Al Nuaimi, Nader Mohamed, Mariam Al Nuaimi and Jameela AI-Jaroodi, "A Survey of Load Balancing in Cloud Computing: Challenges and Algorithms", in Second Symposium on Network Cloud Computing and Applications, 978-0-7695-4943-9/12, IEEE 2012.
  13. Zhen Xiao, Weijia Song and Qi Chen, "Dynamic Resource Allocation Using Virtual Machines for Cloud Computing Environment" ,IEEE transactions on parallel and distributed systems, vol. 24, no. 6, june 2013.
  14. Hemant S. Mahalle, Parag R. Kaveri and Vinay Chavan, "Load Balancing On Cloud Data Centres" in International Journal of Advanced Research in Computer Science and Software Engineering,Volume 3, issue 1, January 2013.
  15. Shridhar G. Domanal and G. Ram Mohana Reddy," Load Balancing in Cloud Computing Using Modified Throttled Algorithm",IEEE, International conference. CCEM 2013. In press.
  16. Brototi Mondal, Kousik Dasgupta and Paramartha Dutta, "Load balancing in cloud computing using stochastic hill climbing a soft computing approach" in Procedia Technology 4 ( 2012 ) 783 - 789, ELSEVIER C3IT-2012.
  17. B. Wickremasinghe, R.N.Calheiros, R.Buyya, Cloud analyst: A cloudsim-based visual modeller for analysing cloud computing in: Proceedings of the 24th International Conference on Advanced Information Networking and Applications (AINA 2010), Perth, Australia" 2010.
  18. Mr. Manan D. Shah, "Allocation Of Virtual Machines In Cloud Computing Using Load Balancing Algorithm" in International Journal of Computer Science and Information Technology & Security (lJCSlTS), ISSN: 2249-9555 Vol. 3, No.1, February 2013.
  19. Ms. Nitika, Ms. Shaveta, Mr. Gaurav Raj, "Comparative Analysis of Load Balancing Algorithms in Cloud Computing" in International Journal of Advanced Research in Computer Engineering & Technology Volume 1, Issue 3, May 2012.
  20. M. Armbrust et aI., "Above the Clouds: A Berkeley View of Cloud Computing," technical report, Univ. of California, Berkeley, Feb. 2009.
  21. Hung-Chang Hsiao, Hsueh-Yi Chung, Haiying Shen, and Yu Chang Chao, "Load Rebalancing for Distributed File Systems in Clouds" IEEE transactions on parallel and distributed systems, vol. 24, no. 5, May 2013.
Index Terms

Computer Science
Information Sciences

Keywords

Cloud computing Load balancing Virtualization Honey bee distributed and dynamic load balancing Resource utilization.