Review of Various Load Balancing Methods for Cloud Computing

Authors(3) :-Nikhit Pawar, Prof. Umesh Kumar Lilhore, Prof. Nitin Agrawal

Cloud computing is an innovative technology which is based on virtualization. It is a new name of existing technology. Cloud computing mainly serves computing resources as a service to cloud users. This Computing is not only about the hard drives were storing and accessing can be done but it is latest computing paradigm and it offers tremendous opportunities to solve the large-scale scientific problem. To fully exploit the applications of cloud, various challenges need to be addressed where scheduling is one among them. In cloud computing, optimum utilization of computing resources are always challenging. A cloud service provider ensures to serve computing resources efficiently to cloud user at optimum cost. Load balancing methods play a vital role in the efficient utilization of computing resources. A load balancing algorithm migrates an overloaded VMs task to an under the loaded machine, with disturbing the existing environment. Different load balancing methods are suggested by cloud researchers. Still, an efficient load balancing method is required. This research paper presents a review of various load balancing method in cloud computing. Also, a comparative analysis has been presented based on various performance measuring parameters.

Authors and Affiliations

Nikhit Pawar
M. Tech. Research Scholar, NRI Institute of Information Science & Technology Bhopal, Madhya Pradesh, India
Prof. Umesh Kumar Lilhore
Head PG, NRI Institute of Information Science & Technology Bhopal, Madhya Pradesh, India
Prof. Nitin Agrawal
Assistant Professor, NRI Institute of Information Science & Technology Bhopal, Madhya Pradesh, India

Cloud computing, Load balancing, Virtualization, Virtual Machine, Load Balancer

  1. NIE Qingbin, LI Pinghua,” An Improved Ant Colony Optimization Algorithm for Improving Cloud Resource Utilization”, 2016 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, IEEE 2016, PP 311-316
  2. Qiang Guo, “Task scheduling based on ant colony optimization in cloud environment”, 2017 5th International Conference on Computer-Aided Design, Manufacturing, Modeling and Simulation (CDMMS 2017), PP 40039 1- 10
  3. Weifeng Sun, Zhenxing Ji, Jianli Sun, Ning Zhang, Yan Hu, “SAACO: A Self-Adaptive Ant Colony Optimization in Cloud Computing”, IEEE 2015, PP 148-153.
  4. Hongyan Cui,1,2 Xiaofei Liu,1 Tao Yu,3 Honggang Zhang,4 Yajun Fang,5 and Zhongguo Xia, “Cloud Service Scheduling Algorithm Research and Optimization”, Hindawi Security and Communication Networks Volume 2017, Article ID 2503153, PP 1-7
  5. Akash Dave, Prof Bhargesh Patel, Prof. Gopi Bhatt,” Load Balancing In Cloud Computing Using Optimization Techniques: A Study”, IEEE 2016, 114-120
  6. Achar R, Thilagam Ps, Soans N, Vikyath Pv, Rao S, Vijeth Am. Load Balancing In Cloud Based On Live Migration Of Virtual Machines. In 2013 Annual IEEE India Conference (Indian) 2013 Dec 13 (Pp. 1-5). IEEE.
  7. Dam S, Mandal G, Dasgupta K, Dutta P. Genetic Algorithm And Gravitational Emulation Based Hybrid Load Balancing Strategy In Cloud Computing. In Computer, Communication, Control and Information Technology (C3it), 2015 Third International
  8. Conference on 2015 Feb 7 (Pp. 1-7). IEEE.
  9. Zhao Y, Huang W. Adaptive Distributed Load Balancing Algorithm Based On Live Migration Of Virtual Machines In Cloud. In Inc, Ims and Idc, 2009. Ncm'09. Fifth International Joint Conference On 2009 Aug 25 (Pp. 170-175). IEEE.
  10. Ashwin Ts, Domanal Sg, Guddeti Rm. A Novel Bio-Inspired Load Balancing Of Virtual Machines In Cloud Environment. In Cloud Computing In Emerging Markets (Ccem), 2014 IEEE International Conference On 2014 Oct 15 (Pp. 1-4). IEEE.
  11. Zhang Z, Zhang X. A Load Balancing Mechanism Based On Ant Colony And Complex Network Theory In Open Cloud Computing Federation. In Industrial Mechatronics And Automation (Lima), 2010 2nd International Conference On 2010 May 30 (Vol. 2, Pp. 240-243). IEEE
  12. Zhu K, Song H, Liu L, Gao J, Cheng G. Hybrid Genetic Algorithm For Cloud Computing Applications. In Services Computing Conference (Apc), 2011 IEEE Asia-Pacific 2011 Dec 12 (Pp. 182-187). IEEE.
  13. Nishant K, Sharma P, Krishna V, Gupta C, Singh Kp, Rastogi R. Load Balancing Of Nodes In Cloud Using Ant Colony Optimization. In Computer Modeling And Simulation (Taksim), 2012 Maksim 14th International Conference On 2012 Mar 28 (Pp.3-8). IEEE.
  14. Yao J, He JH. Load Balancing Strategy Of Cloud Computing Based On Artificial Bee Algorithm. In Computing Technology And Information Management (CCM), 2012 8th International Conference On 2012 Apr 24 (Vol. 1, Pp. 185-189). IEEE.
  15. Aslanzadeh S, Chaczko Z. Load Balancing Optimization In Cloud Computing: Applying Endocrine-Particle Swarm Optimization. In2015 IEEE International Conference On Electro/Information Technology (Eit) 2015 May 21 (Pp. 165- 169). IEEE.
  16. Sun W, Ji Z, Sun J, Zhang N, Hu Y. Saaco: A Self-Adaptive Ant Colony Optimization In Cloud Computing. In,.Big Data And Cloud Computing (Bdcloud), 2015 IEEE Fifth International Conference On 2015 Aug 26 (Pp. 148-153). IEEE.

Publication Details

Published in : Volume 2 | Issue 5 | September-October 2017
Date of Publication : 2017-10-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 579-583
Manuscript Number : CSEIT1725115
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Nikhit Pawar, Prof. Umesh Kumar Lilhore, Prof. Nitin Agrawal, "Review of Various Load Balancing Methods for Cloud Computing", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 5, pp.579-583, September-October-2017.
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