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An Effective Method for Load Balancing using Modified Active Monitoring based Ant Clustering

by Pragati Rajput, Ruchika Mishra, Swati Jain
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 167 - Number 11
Year of Publication: 2017
Authors: Pragati Rajput, Ruchika Mishra, Swati Jain
10.5120/ijca2017914331

Pragati Rajput, Ruchika Mishra, Swati Jain . An Effective Method for Load Balancing using Modified Active Monitoring based Ant Clustering. International Journal of Computer Applications. 167, 11 ( Jun 2017), 5-10. DOI=10.5120/ijca2017914331

@article{ 10.5120/ijca2017914331,
author = { Pragati Rajput, Ruchika Mishra, Swati Jain },
title = { An Effective Method for Load Balancing using Modified Active Monitoring based Ant Clustering },
journal = { International Journal of Computer Applications },
issue_date = { Jun 2017 },
volume = { 167 },
number = { 11 },
month = { Jun },
year = { 2017 },
issn = { 0975-8887 },
pages = { 5-10 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume167/number11/27813-2017914331/ },
doi = { 10.5120/ijca2017914331 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:14:33.289527+05:30
%A Pragati Rajput
%A Ruchika Mishra
%A Swati Jain
%T An Effective Method for Load Balancing using Modified Active Monitoring based Ant Clustering
%J International Journal of Computer Applications
%@ 0975-8887
%V 167
%N 11
%P 5-10
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Load balancing is a technique of balancing the load on virtual machines for the number of requests coming from the Users to access resources over Data Centers. Here in this paper a new and effectual tactic for Load Balancing over computing is proposed using Modified Active Load Balancing by Ant based Clustering Algorithm. The Existing technique implemented for Load balancing on Cloud Simulators fails to provide efficient load balancing, hence a new approach is proposed where Clustering is done ant based gathering on the basis of Utilization of Virtual Machines. The Proposed methodology provides efficient Throughput and MakeSpan time.

References
  1. F. Leymann C. Fehling and R. Retter et al. Cloud Computing Patterns: Fundamentals to Design, Build, and Manage Cloud Applications. Springer, 2014.
  2. Mell, Peter and Grance, Tim, “The NIST definition of cloud computing”, National Institute of Standards and Technology, 2009,vol53, pages50, Mell2009.
  3. S. S. Moharana, R. D. Ramesh, D. Powar, “Analysis of load balancers in cloud computing” International Journal of Computer Science and Engineering,2013,vol 2,pages 101-108.
  4. Rahman, Mazedur, Samira Iqbal, and Jerry Gao. "Load Balancer as a Service in Cloud Computing." In Service Oriented System Engineering (SOSE), 2014 IEEE 8th International Symposium on, pp. 204-211. IEEE, 2014.
  5. Evolven’s IT Operations Analytics. Downtime, outages and failures - understanding their true costs, September 2013. Accessed: 2014-06-05.
  6. Rajkumar Buyya. Market-oriented cloud computing: Vision, hype, and reality of delivering computing as the 5th utility. In CCGRID, page 1, 2009.
  7. Vincent C Emeakaroha, Paweł P Łabaj, Michael Maurer, Ivona Brandic, and David P Kreil. Optimizing bioinformatics workflows for data analysis using cloud management techniques. In Proceedings of the 6th workshop on Workflows in support of large-scale science, pages 37–46. ACM, 2011.
  8. M. Armbrust, A. Fox, R. Griffith, A. D. Joseph, R. Katz, A. Konwinski, G. Lee, D. Patterson, A. Rabkin, I. Stoica, and M. Zaharia, “A view of cloud computing,” Commun. ACM, vol. 53, no. 4, pp. 50–58, 2010.
  9. R. Moreno-Vozmediano, R. S. Montero, and I. M. Llorente, “Key challenges in cloud computing: enabling the future internet of services,” IEEE Int. Comput., vol. 17, no. 4, pp. 18–25, Jul./Aug. 2013.
  10. A. Gulati, A. Holler, M. Ji, G. Shanmuganathan, C. Waldspurger, and X. Zhu, “VMware distributed resource management: Design, implementation and lessons learned,” VMware Tech. J., vol. 1, no. 1, pp. 45–64,Mar. 2012.
  11. J. T. Piao and J. Yan, “A network-aware virtual machine placement and migration approach in cloud computing,” in Proc. 9th IEEE Int. Conf. Grid Cooperative Comput., 2010, pp. 87–92
  12. Jia Zhao, Kun Yang,” A Heuristic Clustering-Based Task Deployment Approach for Load Balancing Using Bayes Theorem in Cloud Environment”, IEEE Transaction on Parallel and Distributed Systems, Volume 27, Issue 2, February 2016.
  13. Sushil Kumar,Deepak Singh Rana “Dynamic Load Balancing Algorithms in Cloud Environment: A Survey” International Journal of Computer Applications (0975 – 8887) Volume 129 – No.6, November2015.
  14. Stanojevic R. and Shorten R.(2009) IEEE ICC, 1-6.
  15. Zhao Y. and Huang W. (2009) 5th International Joint Conference on INC, IMS and IDC, 170-175.
  16. J. Alveirinho, J. Paiva, J. Leitao, and L. Rodrigues, “Flexible and Efficient Resource Location in Large-Scale Systems,” The 4th ACM SIGOPS/SIGACT Workshop on Large Scale Distributed Systems and Middleware, 2010.
Index Terms

Computer Science
Information Sciences

Keywords

Cloud Computing Ant Colony Optimization. Clustering Active Monitoring Load Balancing

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