CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Analysis and Review of Load Balancing in Grid Computing using Artificial Bee Colony

by Preeti Gulia, Deepika Nee Miku
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 71 - Number 20
Year of Publication: 2013
Authors: Preeti Gulia, Deepika Nee Miku
10.5120/12605-9458

Preeti Gulia, Deepika Nee Miku . Analysis and Review of Load Balancing in Grid Computing using Artificial Bee Colony. International Journal of Computer Applications. 71, 20 ( June 2013), 33-40. DOI=10.5120/12605-9458

@article{ 10.5120/12605-9458,
author = { Preeti Gulia, Deepika Nee Miku },
title = { Analysis and Review of Load Balancing in Grid Computing using Artificial Bee Colony },
journal = { International Journal of Computer Applications },
issue_date = { June 2013 },
volume = { 71 },
number = { 20 },
month = { June },
year = { 2013 },
issn = { 0975-8887 },
pages = { 33-40 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume71/number20/12605-9458/ },
doi = { 10.5120/12605-9458 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:36:11.054428+05:30
%A Preeti Gulia
%A Deepika Nee Miku
%T Analysis and Review of Load Balancing in Grid Computing using Artificial Bee Colony
%J International Journal of Computer Applications
%@ 0975-8887
%V 71
%N 20
%P 33-40
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Grid computing is becoming popular day by day. Grid computing is a type of distributed computing that includes sharing of computational power, data and storage and network resources across dynamic organizations. The amount of resources available to any given application highly fluctuates over time. So, load balancing is necessary to manage the resources among numerous applications. The Artificial Bee Colony (ABC) algorithm is an optimization algorithm based on the intelligent behavior of honey bee swarm. This paper compares various dynamic load balancing techniques. This paper also reviews various load balancing techniques using swarm intelligence.

References
  1. Ratnesh Kumar Nath, "Efficient Load Balancing Algorithm in Grid Environment", Thapar University, Patiala, May 2007.
  2. I. Foster, C. Kesselmann, "The Grid: Blueprint for a New Computing Infrastructure", Morgan Kaufmann Publishers, USA, 1999.
  3. Ian Foster, Carl Kesselman, and Steve Tuecke, "The Anatomy of the Grid: Enabling Scalable Virtual Organizations", International Journal of High-performance Computing Applications, 15 (3), pages: 200-222, 2001, http://dspace. thapar. edu:8080/dspace/bitstream/10266/915/4/915. pdf
  4. Pawandeep Kaur, Harshpreet Singh, "Adapptive Dynamic Load Balancing in Grid Computing an Apprach", [IJESAT] INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE & ADVANCED TECHNOLOGY ISSN: 2250–3676 Volume-2, Issue-3, 625 – 632, 2012.
  5. Javier Bustos Jimenez,"Robin Hood: An Active Objects Load Balancing Mechanism for Intranet", Departamento de Ciencias de la Computacion, jbustos@dcc. uchile. cl, Universidad de Chile.
  6. C. Grosan, A. Abraham, and B. Helvik. Multiobjective evolutionary algorithms for scheduling jobs on computational grids. ADIS International Conference, Applied Com- puting, Salamanca, Spain, Nuno Guimares and Pedro Isaias 2007.
  7. Belabbas Yagoubi, Yahya Slimani," Load Balancing Strategy in Grid Environment", Journal of Information Technology and Applications Vol. 1 No. 4 March, 2007, pp. 285-296
  8. C. Kalpana, U. Karthick Kumar, R. Gogulan, "Max-Min Particle Swarm Optimization Algorithms with Load Balancing for Distributed Task Scheduling on the Grid Environment", IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 3, No 1, May 2012.
  9. T. Kokilavani, Dr. D. I. George Amalarethinam, "Memory Constrained Ant Colony System For Task Scheduling In Grid Computing", International Journal of Grid Computing & Applications (IJGCA) Vol. 3, No. 3, September 2012.
  10. Sowmya Suryadevevra, Jaishri Chourasia, Sonam Rathore, Abdul Jhummarwala, "Load Balancing in Computational Grids Using Ant Colony Optimization Algorithm", presented at International Journal of Computer & Communication Technology (IJCCT) ISSN (ONLINE): 2231 - 0371 ISSN (PRINT): 0975 –7449 Vol-3, Iss-3, 2012.
  11. Manish Gupta, Govind Sharma, "An Efficient Modified Artificial Bee Colony Algorithm for Job Scheduling Problem" ,International Journal of Soft Computing and Engineering (IJSCE) ISSN: 2231-2307, Volume-1, Issue-6, January 2012.
  12. T. Kokilavani, Dr. D. I. George Amalarethinam, "Load Balanced Min-Min Algorithm for Static Meta-Task Scheduling in Grid Computing", International Journal of Computer Applications (0975 – 8887) Volume 20– No. 2, April 2011
  13. Mr. P. Mathiyalagan, U. R. Dhepthie, Dr. S. N. Sivanandam,"Grid Scheduling using Enhanced PSO Algorithm", P. Mathiyalagan et al. / (IJCSE) International Journal on Computer Science and Engineering Vol. 02, No. 02, 2010, 140-145,2010.
  14. Lei Zhang, Yuehui Chen, Runyuan Sun, Shan Jing and Bo Yang, "A Task Scheduling Algorithm Based on PSO for Grid Computing" , International Journal of Computational Intelligence Research. ISSN 0973-1873 Vol. 4, No. 1 , pp. 37–43,2008.
  15. Mr. P. Mathiyalagan, U. R. Dhepthie, Dr. S. N. Sivanandam,"Grid Scheduling using Enhanced PSO Algorithm", P. Mathiyalagan et al. / (IJCSE) International Journal on Computer Science and Engineering Vol. 02, No. 02, 2010, 140-145.
  16. B. Akay, D. Karaboga, "A modified Artificial Bee Colony algorithm for real-parameter optimization", Inform. Sci. (2010), doi:10. 1016/j. ins. 2010. 07. 015.
Index Terms

Computer Science
Information Sciences

Keywords

Grid Computing Dynamic Load balancing Swarm intelligence

Powered by PhDFocusTM