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Distribution of Work Load at Main Controller Level Using Enhanced Round Robin Scheduling Algorithm in A Public Cloud

G.Thejesvi 1 , T.Anuradha 2

Section:Review Paper, Product Type: Journal Paper
Volume-3 , Issue-12 , Page no. 75-78, Dec-2015

Online published on Dec 31, 2015

Copyright © G.Thejesvi , T.Anuradha . 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: G.Thejesvi , T.Anuradha, “Distribution of Work Load at Main Controller Level Using Enhanced Round Robin Scheduling Algorithm in A Public Cloud,” International Journal of Computer Sciences and Engineering, Vol.3, Issue.12, pp.75-78, 2015.

MLA Style Citation: G.Thejesvi , T.Anuradha "Distribution of Work Load at Main Controller Level Using Enhanced Round Robin Scheduling Algorithm in A Public Cloud." International Journal of Computer Sciences and Engineering 3.12 (2015): 75-78.

APA Style Citation: G.Thejesvi , T.Anuradha, (2015). Distribution of Work Load at Main Controller Level Using Enhanced Round Robin Scheduling Algorithm in A Public Cloud. International Journal of Computer Sciences and Engineering, 3(12), 75-78.

BibTex Style Citation:
@article{_2015,
author = {G.Thejesvi , T.Anuradha},
title = {Distribution of Work Load at Main Controller Level Using Enhanced Round Robin Scheduling Algorithm in A Public Cloud},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {12 2015},
volume = {3},
Issue = {12},
month = {12},
year = {2015},
issn = {2347-2693},
pages = {75-78},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=743},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=743
TI - Distribution of Work Load at Main Controller Level Using Enhanced Round Robin Scheduling Algorithm in A Public Cloud
T2 - International Journal of Computer Sciences and Engineering
AU - G.Thejesvi , T.Anuradha
PY - 2015
DA - 2015/12/31
PB - IJCSE, Indore, INDIA
SP - 75-78
IS - 12
VL - 3
SN - 2347-2693
ER -

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Abstract

The enormous development in the computer and communication technology led to use various web based software applications using with the Internet. Cloud computing is an emerging technology where millions of clients and individuals use various cloud services like storage, software’s and infrastructure on rental basis. Tremendous increase in the number of users has led to some issues and problems. One of the main issues is balancing the work load and increasing the performance of the system. An efficient and dynamic algorithm called “Enhanced Round Robin scheduling algorithm” has been proposed in this paper for balancing the load. The work distribution to the various balancers by the main controller is done using two parameters: one is balancer status (idle, normal and overload) and the other is percentage of overall balancer status (idleness and normalness). Based upon these parameters, the balancers are sorted and stored in a list. The work is distributed to various balancers in a round robin fashion.

Key-Words / Index Term

Main controller,Balancer, Nodes, Enhanced Round Robin Sceduling, Idle, Normal and Overload

References

[1] B. Adler, Load balancing in the cloud: Tools, tips and techniques, http://www.rightscale. com/info center/whitepapers/Load-Balancing-in-the-Cloud.pdf, 2012
[2] K. Nishant, P. Sharma, V. Krishna, C. Gupta, K. P. Singh, N. Nitin, and R. Rastogi, Load balancing of nodes in cloud using ant colony optimization, in Proc. 14th International Conference on Computer Modelling and Simulation (UKSim), Cambridgeshire, United Kingdom, Mar. 2012, pp. 28-30.
[3] Jasp reetKaur et al. “Comparison of load balancing algorithms in a Cloud”, International Journal of En gineerin g Research and Applications (IJERA), May-Jun 2012.
[4] K. Nuaimi, N. Mohamed, M. Nuaimi and J. Al-Jaroodi, “A Survey of Load Balancing in Cloud Computing: Challenes and Algorithmsg,” 2012 IEEE Second Symposium on Network Cloud Computing and Applications, 2012.
[5] T. Zuhori, T. Shamrin, R. Tanbin and F. Mahmud, “An Efficient Load Balancing Approach in Cloud Environment by using Round Robin Algorithm,” International Journal of Artificial Intelligence and Mechatronics, vol. 1, 2013, pp. 1-4.
[6] T. Kokilavani and G. Amalarethinam, “Load Balanced Min-Min Algorithm for Static Meta-Task Scheduling in Grid Computing” International Journal of Computer Applications, vol. 20, No. 2, April 2011, pp. 43-49.
[7] Rajesh George rajan,V. jeyakrishna “A survey on Load balancing in cloud computing environment”, International journal of advanced research in computer engineering, December 2013 .
[8] Ajaltouni, E. E., Boukerche, A., & Zhang, M. (2008). An Efficient Dynamic Load Balancing Scheme for Distributed Simulations on a Grid Infrastructure. 2008 12th IEEE/ACM International Symposium on Distributed Simulation and Real-Time Applications, 61-68. Ieee. doi:10.1109/DS-RT.2008.38
[9] Wang, S-C., K-Q. Yan, W-P. Liao and S-S. Wang, "Towards a load balancing in a three-level cloud computing network," in proc. 3rd International Conference on. Computer Science and Information Technology (ICCSIT), IEEE, Vol. 1, pp: 108-113, July 2010.
[10] Radojevic, B. and M. Zagar, "Analysis of issues with load balancing algorithms in hosted (cloud) environments." In proc. 34th International Convention on MIPRO, IEEE, 2011.
[11] K. S. Rashmi, V. Suma and M. Vaidehi, “Enhanced Load Balancing Approach to Avoid Deadlocks in Cloud,” Special Issue of International Journal of Computer Applications (0975 – 8887) on Advanced Computing and Communication Technologies for HPC Applications (ACCTHPCA), June 2012, pp. 31–35.
[12] Z. Chaczko, V. Mahadevan, Sh. Aslanzadeh and Ch. Mcdermid, “ Availability and Load Balancing in Cloud Computing, ” 2011 International Conference on Computer and Software Modeling, IACSIT Press, Singapore, vol.14, pp. 134-140.
[13] S.Penmatsa and A. T. Chronopoulos , Game- theoretic static load balancing for distributed systems, Journal of parallel and Distributing Computing, vol. 71, no.4, pp. 537-555, Apr.2011.
[14] Ruhi Guptha, Rekha Bhatia “An Enhanced and secure approach of load balancing in cloud computing” International Journal of computer Science and Engineering(IJCSE), vol.02, Issue.08, pp.112-116, Aug-2014.