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Review of Various Load Distribution Methods for Cloud Computing, to Improve Cloud Performance

R. Upadhyay1 , U. Lilhore2

Section:Review Paper, Product Type: Journal Paper
Volume-4 , Issue-12 , Page no. 61-64, Dec-2016

Online published on Jan 02, 2016

Copyright © R. Upadhyay, U. Lilhore . 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.

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IEEE Style Citation: R. Upadhyay, U. Lilhore, “Review of Various Load Distribution Methods for Cloud Computing, to Improve Cloud Performance,” International Journal of Computer Sciences and Engineering, Vol.4, Issue.12, pp.61-64, 2016.

MLA Style Citation: R. Upadhyay, U. Lilhore "Review of Various Load Distribution Methods for Cloud Computing, to Improve Cloud Performance." International Journal of Computer Sciences and Engineering 4.12 (2016): 61-64.

APA Style Citation: R. Upadhyay, U. Lilhore, (2016). Review of Various Load Distribution Methods for Cloud Computing, to Improve Cloud Performance. International Journal of Computer Sciences and Engineering, 4(12), 61-64.

BibTex Style Citation:
@article{Upadhyay_2016,
author = {R. Upadhyay, U. Lilhore},
title = {Review of Various Load Distribution Methods for Cloud Computing, to Improve Cloud Performance},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {12 2016},
volume = {4},
Issue = {12},
month = {12},
year = {2016},
issn = {2347-2693},
pages = {61-64},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1133},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1133
TI - Review of Various Load Distribution Methods for Cloud Computing, to Improve Cloud Performance
T2 - International Journal of Computer Sciences and Engineering
AU - R. Upadhyay, U. Lilhore
PY - 2016
DA - 2017/01/02
PB - IJCSE, Indore, INDIA
SP - 61-64
IS - 12
VL - 4
SN - 2347-2693
ER -

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Abstract

Cloud computing in an improve form for grid computing, cluster computing and distributed computing. Cloud computing provides sharing of computing resources such as platform, software, infrastructure and data over the network, on pay and use basis. Cloud computing provides service PaaS, IaaS and SaaS to various cloud users, by supporting various cloud models private, public, community and hybrid. Cloud computing reduces overall cost and efforts. Day by day numbers of cloud user are increasing rapidly. Higher number of cloud users are requires high computing resources on time, which creates a big challenge for cloud service providers so serve computing resources on time. Various cloud researchers are working on improvement on cloud performance by correct load distribution among cloud user request and computing resources. In this survey paper we are presenting a comparative study of various load distribution method for cloud computing.

Key-Words / Index Term

Cloud Computing ,Load Balancing ,Grid Computing ,Cloud Services

References

[1]. Sidra Aslam, Munam Ali Shah, �Load Balancing Algorithms in Cloud Computing: A Survey of Modern Techniques�, National Software Engineering Conference (NSEC 2015), IEEE, PP 30-36
[2]. Geethu Gopinath P P(1), Shriram K Vasudevan, An in-depth analysis and study of Load balancing techniques in the cloud computing environment, 2nd International Symposium on Big Data and Cloud Computing (ISBCC�15), Science Direct, Procedia Computer Science 50 ( 2015 ) 427 � 432
[3]. Aarti Singha, Dimple Junejab, Manisha Malhotraa,� Autonomous Agent Based Load Balancing Algorithm in Cloud Computing,� International Conference on Advanced computing Technologies and Applications (ICACTA-2015), Science direct, Procedia Computer Science 45 ( 2015 ) 832 � 841
[4]. Bhaskar. R, Deepu. S.R and Dr. B.S. Shylaja (2012, September). Dynamic Allocation Method for Efficient Load Balancing in Virtual Machines for Cloud Computing Environment. Advanced Computing: An International Journal (ACIJ), 3(5), pp. 53-61.
[5]. Dr. PK Sinha, SR Dhore,(2010),Multi-Agent Optimized Load balancing Using Spanning Tree for Mobile Services, International Journal Of Computer Application , 1(6).
[6]. G. Xu, J. Pang, X. Fu. (2013, Feb). A Load Balancing Model Based on Cloud Partitioning for the Public Cloud. Tsinghua Science and Technology.[Online].18(1),pp. 34-39.
[7]. J. Hu, J. Gu, G. Sun, T. Zhao. A Scheduling Strategy on Load Balancing of Virtual Machine Resources in Cloud Computing Environment in Proc. PAAP, 2010, pp. 89-96.
[8]. K. B. Mahieddine. An Evaluation of Load Balancing Algorithms for Distributing System A thesis of Doctor of Philosophy submitted in The University of Leeds, School of Computer Studies, October 1991.
[9]. M. Amar, K. Anurag, K. Rakesh, K. Rupesh, Y. Prashant (2011). SLA Driven Load Balancing For Web Applications in Cloud Computing Environment, Information and Knowledge Management, 1(1), pp. 5-13.
[10]. M.Randles, D.Lamb, AT.Bendiab. A Comparative Study into Distributed Load Balancing Algorithms for Cloud Computing. In Proc. ICAINAW, 2010, pp.551-556.
[11]. R. Ezumalai,G. Aghila, R. Rajalakshmi,(2010, Feb). Design and Architecture for Efficient Load balancing with Security Using Mobile Agents.International Journal of Engineering & Technology (IACSIT). pp. 149-160.
[12]. S Jing and K She (2011 April). A Novel Model for Load Balancing in Cloud Data Centre. Journal of Convergence Information Technology. , pp. 29-38.
[13]. .S. Ray and A.D. Sarkar (2012, October). Execution Analysis of Load Balancing Algorithms in Cloud Computing Environment. International Journal on Cloud Computing: Services and Architecture (IJCCSA). 2(5), pp. 1-13.
[14]. S. S. Moharana, R. D. Ramesh & D.Powar,(2013, May). Analysis of Load Balancers in Cloud Computing. International Journal of Computer Science & Engineering (IJCSE), pp.: 101-108.
[15]. S.C. Wang,K.Q. Yan, W.P.Liao, S.S. Wang. Towards a Load Balancing in a three-Level Cloud Computing Network. In Proc. ICCSIT, 2010, pp.108-113.
[16]. T. Desai, J. Prajapati,(2013, Nov). A Survey of Various Load Balancing Techniques And Challenges In Cloud Computing. International Journal of Scientific & Technology Research, [Online]. 2(11), pp.158-161.
[17]. Y.Xu, L. Wu, L. Guo, Z.Chen, L.Yang, Z.Shi. An Intelligent Load Balancing Algorithms Towards Efficient Cloud Computing. In Proc. AAAI Workshop, 2011, pp. 27-32.