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

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

A New Hybrid Algorithm to Solve the Task Scheduling Problem in Grid Computing

by Hamid Salehi, Reza Boostani, Asou Aminnezhad
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 62 - Number 4
Year of Publication: 2013
Authors: Hamid Salehi, Reza Boostani, Asou Aminnezhad
10.5120/10071-4681

Hamid Salehi, Reza Boostani, Asou Aminnezhad . A New Hybrid Algorithm to Solve the Task Scheduling Problem in Grid Computing. International Journal of Computer Applications. 62, 4 ( January 2013), 37-40. DOI=10.5120/10071-4681

@article{ 10.5120/10071-4681,
author = { Hamid Salehi, Reza Boostani, Asou Aminnezhad },
title = { A New Hybrid Algorithm to Solve the Task Scheduling Problem in Grid Computing },
journal = { International Journal of Computer Applications },
issue_date = { January 2013 },
volume = { 62 },
number = { 4 },
month = { January },
year = { 2013 },
issn = { 0975-8887 },
pages = { 37-40 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume62/number4/10071-4681/ },
doi = { 10.5120/10071-4681 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:10:49.828315+05:30
%A Hamid Salehi
%A Reza Boostani
%A Asou Aminnezhad
%T A New Hybrid Algorithm to Solve the Task Scheduling Problem in Grid Computing
%J International Journal of Computer Applications
%@ 0975-8887
%V 62
%N 4
%P 37-40
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The new generation of networks, distributed systems, grid computing, which allows users to share files and Users need to use different sources to provide. Grid computing system as one of the competing technologies for cloud computing can be considered to have many advantages for users. One goal of grid computing systems, the management of computing resources for processing user applications or clients So that the resulting high quality of service, lower costs and greater flexibility is. In this paper, to solve the scheduling problem in grid computing system combining genetic algorithms and algorithms of gravity is used.

References
  1. Li. M. , Baker, M. 2005, "the Grid, Core Technologies", John Wiley & Sons Ltd.
  2. Jacob, Brown, M. , Fukui, K. , Trivedi, N. 2005, "Introduction to Grid Computing", IBM.
  3. Garey, M. R. and Johnson, D. S. 1979, Computers and Intractability — A Guide to the Theory of NP Completeness,W. H. Freeman and Co.
  4. Wang, L. , et al. , et al. 1, s. l. 1997, "Task matching and scheduling in heterogeneous computing environments using a genetic-algorithm-based approach": Journal of Parallel and Distributed Computing, Vol. 47, pp. 8-22.
  5. Braun, T. D. , et al. , et al. 6, s. l. 2001 ,"A comparison of eleven static heuristics for mapping a class of independent tasks onto heterogeneous distributed computing systems" : Journal of Parallel and Distributed Computing, Vol. 61, pp. 810-837.
  6. Carretero, J. , Xhafa, F. and Abraham, A. s. l. , 2007, "Genetic algorithm based schedulers for grid computing systems": International Journal of Innovative Computing, Information and Control, Vol. 3, pp. 1053-1071. 5.
  7. Yuan, J. B. , Luo, J. M. and Su, Z. Y. Wuhan, 2008, "Strategy for tasks scheduling in grid combined neighborhood search with improved adaptive genetic algorithm based on local convergence criterion". International Conference on Computer Science and Software Engineering. pp. 9-13.
  8. Fidanova, S. Sofia, Bulgaria,2006, "Simulated annealing for grid scheduling problem": IEEE John Vincent Atanasoff 2006 International Symposium on Modern Computing. pp. 41-45.
  9. Kazem, A. A. P. , et al. , et al. "A Modified Simulated Annealing Algorithm for Static Task Scheduling in Grid Computing". Singapore : International Conference on Computer Science and Information Technology. pp. 623-627.
  10. Zheng, S. J. , Shu, W. N. and Gao, L. Shanghai, 2006,"Task scheduling using parallel genetic simulated annealing algorithm", IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI 2006), Vol. 1, pp. 46-50.
Index Terms

Computer Science
Information Sciences

Keywords

Grid computing systems Genetic algorithms Algorithms gravity

Powered by PhDFocusTM