Abstract
In a distributed hospital system, different hospitals should collaborate among themselves for sharing their resources to provide better and faster service to the patients. We address the distributed hospital resource scheduling problem and apply the Generalized Partial Global Planning (GPGP) approach used for multiagent systems for the same. An adaptive coordination mechanism based on the contract net protocol is proposed to support inter-hospital collaboration. We have performed simulation studies and the experimental results show that our coordination mechanism performs better than commonly used schemes. Fault handling mechanisms are presented so that the system continues to provide service even in the presence of faults. The proposed approach is applicable in contexts other than the distributed hospital system as well.
This work is supported by the Ministry of Human Resources and Development, Govt. of India grant for the project entitled “Collaborative Computing Using Intelligent Agents”.
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References
K.S. Decker: Environment Centered Analysis and Design of Coordination Mechanisms. Ph.D. thesis, University of Massachusetts. (1995)
K.S. Decker, J. Li: Coordinating Mutually Exclusive Resources Using GPGP. Autonomous Agents and Multi-Agent Systems. 3 (2000) 1–27
K.S. Decker, V.R. Lesser: Designing a Family of Coordination Algorithms. In Proceedings of the First International Conference on Multi-Agent Systems, San Francisco. (June 1995) 73–80
U. Deshpande, A. Gupta, A. Basu: Collaboration in a Distributed Hospital Environment. Technical Report No. IITKGP/CSE/AB/2002/1, Department of Computer Science and Engineering, IIT-Kharagpur, India. (July 2002)
E.H. Durfee, V.R. Lesser: Using Partial Global Plans to Coordinate Distributed Problem Solvers. In Proceedings of the Tenth International Joint Conference on Artificial Intelligence. (August 1987)
A. Garvey, V. Lesser: Design-to-time Real-Time Scheduling. IEEE Transactions on Systems, Man and Cybernetics. 23(6) (1993) 1491–1502
A. Kumar, P.S. Ow: A Study of Distributed Problem Solving for Patient Scheduling. In Proc. ORSA/TIMS, Washington, D.C. (1988)
K. Ramamritham, J. Stankovic, W. Zhao: Distributed Scheduling of Tasks with Deadlines and Resource Requirements. IEEE Transactions on Computers. 38(8) (August 1989) 1110–1123
R.G. Smith: The Contract Net Protocol: High Level Communication and Control in a Distributed Problem Solver. IEEE Transactions on Computers. 29(12) (Dec. 1980) 1104–1113
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© 2002 Springer-Verlag Berlin Heidelberg
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Deshpande, U., Gupta, A., Basu, A. (2002). Adaptive Fault Tolerant Hospital Resource Scheduling. In: Meersman, R., Tari, Z. (eds) On the Move to Meaningful Internet Systems 2002: CoopIS, DOA, and ODBASE. OTM 2002. Lecture Notes in Computer Science, vol 2519. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36124-3_29
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DOI: https://doi.org/10.1007/3-540-36124-3_29
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