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Call for Paper - May 2015 Edition
IJCA solicits original research papers for the May 2015 Edition. Last date of manuscript submission is April 20, 2015. Read More

Load Balancing Techniques in Cloud Computing: A Study

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IJCA Proceedings on International Conference on Information and Communication Technologies
© 2014 by IJCA Journal
ICICT - Number 3
Year of Publication: 2014
Authors:
Deepak B S
Shashikala S V
Radhika K R

Deepak B S, Shashikala S V and Radhika K R. Article: Load Balancing Techniques in Cloud Computing: A Study. IJCA Proceedings on International Conference on Information and Communication Technologies ICICT(3):1-4, October 2014. Full text available. BibTeX

@article{key:article,
	author = {Deepak B S and Shashikala S V and Radhika K R},
	title = {Article: Load Balancing Techniques in Cloud Computing: A Study},
	journal = {IJCA Proceedings on International Conference on Information and Communication Technologies},
	year = {2014},
	volume = {ICICT},
	number = {3},
	pages = {1-4},
	month = {October},
	note = {Full text available}
}

Abstract

Cloud Computing is an emerging computing paradigm. It aims to share data, calculations, and service transparently over a scalable network of nodes. Cloud Computing is nothing but a collection of computing resources and services pooled together over internet and is provided to the users on pay-as-needed basis. In cloud computing, load balancing is required to distribute the dynamic local workload evenly across all the nodes. It helps to achieve a high user satisfaction and resource utilization ratio by ensuring an efficient and fair allocation of every computing resource. Proper load balancing aids in minimizing resource consumption, implementing fail-over, enabling scalability, avoiding bottlenecks and over-provisioning etc. It helps in optimal utilization of resources and hence in enhancing the performance of the system. A few existing scheduling algorithms can maintain load balancing and provide better strategies through efficient job scheduling and resource allocation techniques as well. In order to gain maximum profits with optimized load balancing algorithms, it is necessary to utilize resources efficiently. This paper discusses some of the existing load balancing algorithms in cloud computing and also their challenges.

References

  • Nidhi Jain Kansal, Inderveer Chana, Cloud Load balancing techniques:A step towards green computing, IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 1, No 1, January 2012.
  • Zenon Chaczko, Venkatesh Mahadevan, Shahrzad Aslanzadeh and Christopher Mcdermid, Availabilty and load balancing in cloud computing, 2011 International Conference on Computer and Software Modeling, IPCSIT vol. 14 (2011) ACSIT Press, Singapore.
  • Tanveer Ahmed, Yogendra Singh, Analytic study of load balancing techniques using tool cloud analyst
  • Peter Mell, Timothy Grance, "The NIST Definition of Cloud Computing", NIST Special Publication 800-145, September 2011.
  • R. Shinmonski. Windows 2000 & Windows Server 2003 Clustering and Load balancing. Emeryville. McGraw-Hill professional publishing, CA, USA (2003), p2, 2003.
  • David Escalante and Andrew J. Korty, Cloud Services: Policy and Assessment, EDUCASE Review, Vol. 46, No. 4(2011).
  • Stanojevic R and Shorten R(2009) IEEE ICC,1-6.
  • Zhao Y. and Huang W. (2009) 5th International Joint Conference on INC, IMS and IDC, 170-175.
  • Nae V. , Prodan R. and Fahringer T. (2010) 11th IEEE/ACM International Conference on Grid Computing (Grid), 9-17.
  • Randles M. , Lamb D. and Taleb-Bendiab A. (2010) 24th International Conference on Advanced Information Networking and Applications orkshops, 551-556.
  • Meenakshi Sharma, Pankaj Shrama, Dr. Sandeep Sharma, Efficient Load
  • Hardeep Uppal, dane Brandon, OpenFlow based load balancing.
  • Hardeep Uppal, dane Brandon, OpenFlow based load balancing.
  • Giuseppe Valetto, Paul Snyder, Daniel J. Dubois, Elisabetta Di Nitto and Nicolo M. Calcavecchia, A self-organized load balancing algorithm for overlay based decentralized service networks.
  • Ratan Mishra, Anant jaiswal, Ant colony optimization: A Solution of load balancing in cloud, International Journal of Web & Semantic Technology (IJWesT) Vol. 3, No. 2, April 2012.
  • A. Khiyaita, M. Zbakh, H. El Bakkali and Dafir El Kettani, "Load Balancing Cloud Computing: State of Art" , 9778-1-4673-1053-6/12/$31. 00, 2012 IEEE.