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Design and Implementation of Agent based Inter Process Synchronization Manager

by Deepshikha Bhargava, Madhavi Sinha
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 46 - Number 21
Year of Publication: 2012
Authors: Deepshikha Bhargava, Madhavi Sinha
10.5120/7065-9670

Deepshikha Bhargava, Madhavi Sinha . Design and Implementation of Agent based Inter Process Synchronization Manager. International Journal of Computer Applications. 46, 21 ( May 2012), 17-22. DOI=10.5120/7065-9670

@article{ 10.5120/7065-9670,
author = { Deepshikha Bhargava, Madhavi Sinha },
title = { Design and Implementation of Agent based Inter Process Synchronization Manager },
journal = { International Journal of Computer Applications },
issue_date = { May 2012 },
volume = { 46 },
number = { 21 },
month = { May },
year = { 2012 },
issn = { 0975-8887 },
pages = { 17-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume46/number21/7065-9670/ },
doi = { 10.5120/7065-9670 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:40:37.554132+05:30
%A Deepshikha Bhargava
%A Madhavi Sinha
%T Design and Implementation of Agent based Inter Process Synchronization Manager
%J International Journal of Computer Applications
%@ 0975-8887
%V 46
%N 21
%P 17-22
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Inter Process synchronization is the coordination of simultaneous threads or processes to complete a task in order to get correct runtime order and avoid unexpected race conditions. Since processes frequently need to communicate with other processes therefore, there is a need for a well-structured communication among processes, without using interrupts [1]. This paper is an attempt to present the design and implementation of an agent based technique to provide optimized solution of Inter Process Synchronization problem, keeping the problem of critical section in to consideration.

References
  1. Wallis, P. Ronnquist, R. Jarvis, D. Lucas, "The automated wingman - Using JACK intelligent agents for unmanned autonomous vehicles", Aerospace Conference Proceedings, 2002. IEEE , Agent Oriented Software, Carlton, Vic. , Australia, Volume: 5, pp 5-2615- 5-2622 vol. 5, 2002
  2. U. Ramachandran, M. Solomon, M. Vernon, "Hardware support for interprocess communication", Proceedings of the 14th annual International Symposium on Computer architecture. Pittsburgh, Pennsylvania, United States. Pages: 178 - 188. , ISBN 0-8186-0776-9 , 1987
  3. Hyacinth S. Nwana, "Software Agents: An Overview", Intelligent Systems Research Advanced Applications & Technology Department ,BT Laboratories, Springer Berlin / Heidelberg, pp 59-78, 1997
  4. Acebo, E. and de la Rosa, J. L. , A Fuzzy System Based Approach to Social Modeling in multiagent Systems. Proceedings of the First International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS'02), Palazzo Re Enzo, Italy, 2002.
  5. Amgoud L. and Kaci S. , On the generation of bipolar goals in argumentationbased negotiation. In (I. Rahwan et al, eds. ) Proceedings of the 1st Int. Workshop on Argumentation in Multi-Agent Systems (ArgMAS), volume 3366 of LNCS, 192-207. Springer, Germany, 2004.
  6. R. Belecheanu, S. Munroe, M. Luck, T. Payne, T. Miller, M. Pechoucek, and P. McBurney. Commercial applications of agents: Lessons, experiences and challenges. In Proceedings of the Fifth International Joint Conference on Autonomous Agents and Multi-Agent Systems, Hakodate, Japan, pages 1549--1555, 2006. ACM Press.
  7. Giuseppe De Giacomo, Yves Lesperance, and Adrian R. Pearce. Situation Calculus-Based Programs for Representing and Reasoning about Game Structures. In Fangzhen Lin Sattler and Ulrike, editors, Proceedings of the Twelfth International Conference on the Principles of Knowledge Representation and Reasoning (KR 2010), Toronto, Canada, pages 445--455, 2010.
  8. Blom, L. , Michelle and Adrian R. Pearce. An Argumentation-Based Interpreter for Golog Programs. In International Joint Conference on Artificial Intelligence (IJCAI 2009), Los Angeles, pages 690--695, 2009.
  9. Li Xining, Comparison of communication models for mobile agents, Systemics, Cybernetics And Informatics, Volume 1 - Number 2
  10. Miller, T. and McBurney, P. . On illegal composition of first-class agent interaction protocols. In Proceedings of the Thirty-First Australasian Computer Science Conference, volume 74 of CRPIT, pages 127--136, 2008. ACS.
  11. Mobach D. G. A. , Overeinder B. J. , and Brazier F. M. T. , A WS-agreement based resource negotiation Framework for mobile agents, Scalable Computing: Practice and Experience, 7 (1):23 – 36, 2006.
  12. Shehory Onn, Sycara Katia, Sukthankar Gita, Mukherjee Vick, Agent aided aircraft maintenance, School of Computer Science, Carnegie-Mellon University
  13. Albert J. N. van Breemen, Agent-Based Multi-Controller System, PhD Thesis, University of Twente, Twente University Press, 2001
  14. Wooldridge M and Jennings N. R. , Intelligent Agents: theory and practice. The Knowledge Engineering Review, 10(2), 115-152, 1995.
Index Terms

Computer Science
Information Sciences

Keywords

Inter Process Synchronization Manager (ipsm) Agent Engine Cfae (control Function Agent Engine)

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