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Reseach Article

Proffering Task oriented Grid Resource Discovery based on Learning Automata

by Ali Sarhadi, Hosein Zohrevand, Ebad Zohrevandi, Rasoul Rostaei
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 21 - Number 2
Year of Publication: 2011
Authors: Ali Sarhadi, Hosein Zohrevand, Ebad Zohrevandi, Rasoul Rostaei
10.5120/2480-3339

Ali Sarhadi, Hosein Zohrevand, Ebad Zohrevandi, Rasoul Rostaei . Proffering Task oriented Grid Resource Discovery based on Learning Automata. International Journal of Computer Applications. 21, 2 ( May 2011), 41-46. DOI=10.5120/2480-3339

@article{ 10.5120/2480-3339,
author = { Ali Sarhadi, Hosein Zohrevand, Ebad Zohrevandi, Rasoul Rostaei },
title = { Proffering Task oriented Grid Resource Discovery based on Learning Automata },
journal = { International Journal of Computer Applications },
issue_date = { May 2011 },
volume = { 21 },
number = { 2 },
month = { May },
year = { 2011 },
issn = { 0975-8887 },
pages = { 41-46 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume21/number2/2480-3339/ },
doi = { 10.5120/2480-3339 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:07:31.322915+05:30
%A Ali Sarhadi
%A Hosein Zohrevand
%A Ebad Zohrevandi
%A Rasoul Rostaei
%T Proffering Task oriented Grid Resource Discovery based on Learning Automata
%J International Journal of Computer Applications
%@ 0975-8887
%V 21
%N 2
%P 41-46
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Main challenge of existing resource discovery service is the lack of support from task oriented query. This paper puts forward a design of task-oriented grid resource discovery service based on learning automata to enable users to dynamically discover the grid resources which are suitable for their task. The core of this service is learning automata based grid resource classifier, which periodically accesses the Meta computing directory service and dynamically classifier the grid resources into task-oriented categories according to the real-time state of grid computing environment. Users can invoke this service and pass her or his task type as a parameter to discover the current most suitable grid resources. Grid resource allocation manager also can interact with this service to improve its practicability and efficiency.

References
  1. T. L. Casavant and J. G. Kuhl, " A taxonomy of scheduling in general-purpose distributed computing systems," IEEE Transactions on Software Engineering, Vol. 14, No. 2, 1998, pp. 141-154.
  2. T. D. Braun, H. J. Siegel, et al.," A taxonomy for describing matching and scheduling heuristics for mixed-machine heterogeneous computing systems," Proceedings of the 17th IEEE Symposium on Reliable Distributed Systems, 1998, pp. 330-335.
  3. I. Ekmecic, I. Tartalja, and V. Milutinovic, “A taxonomy of heterogeneous computing," IEEE computer, Vol.28, No.12, 1995, pp.68-70.
  4. Iamnitchi and I. Foster, “On Fully Decentralized Resource Discovery in Grid Environments,” IEEE International Workshop on Grid Computing,Denver, CO, 2001.
  5. The GridLab Project, http://www.gridlab.org
  6. R. Al-Ali, O. Rana, D. Walker, S. Jha, and S. Sohail, "G-QoSM: Grid Service Discovery using QoS Properties", Computing and Informatics Journal, Special Issue on Grid Computing, vol. 21, no. 4, pp.363–382, 2002.
  7. Domenico Talia, Paolo Trunfio and Jingdi Zeng, Peer-to-Peer Models for Resource Discovery in Large-Scale Grids: A Scalable Architecture, May 2004
  8. R. Buyya, "Interactive Class Hierarchy Diagram of Economic Grid Resource Broker Simulated using the GridSim Toolkit", http://www.buyya.com/gridsim/doc/gridbroker/, Dec. 2001.
  9. 17- I. Foster, C. Kesselman and S. Tuecke, "The anatomy of the Grid: Enabling scalable virtual organizations", International Journal of Supercomputer Applications, 2001.
  10. 20- K. Narendra and M. A. L. Thathachar, Learning Automata: An Introduction, Prentice Hall, Englewood Cliffs,New Jersey, 1989.
  11. 21- R. Mirchandaney and J. A. Stankovic, "Using stochastic learning automata for Buyer scheduling in distributed processing systems", Journal of Parallel and Distributed Computing, pp. 527-551, 1986.
  12. 22- R. Buyya and M. Murshed, GridSim: A Toolkit for the Modeling and Simulation of Distributed Resource Management and Scheduling for Grid Computing, Technical Report, Monash University, Nov. 2001. To appear in the Journal of Concurrency and Computation: Practice and Experience (CCPE), 1-32pp, Wiley Press, May 2002
  13. 25- Kargupta, H. & Ghosh, S. (2002). Toward Machine Learning Through Genetic Codelike Transformations. Genetic Programming and Evolvable Machines, 3(3), 231-258.
  14. A. Iamnitchi, and I. Foster, "On fully decentralized resource discovery in Grid environments", IEEE Int. workshop on Grid computing, Denver, 2001.
  15. Universal description discovery and integration (UDDI). http://www.uddi.org, 2001.
  16. S. Venugopal and R. Buyya, “A Market-Oriented Grid Directory Service for Publication and Discovery of Grid Service Providers and their Services”, in Journal of Supercomputing, Kluwer Academic Publishers, USA, February 2004.
Index Terms

Computer Science
Information Sciences

Keywords

Grid resource discovery MANET Learning automata task oriented