Abstract
OPERA (Opto-Electronic Reconfigurable Architecture) is a new network architecture for multiprocessor systems which features a reconfigurable and adaptable communication structure. This architecture was introduced mainly to suggest a new method of improving the efficiency of solving distributed problems. Distributed problems are decomposed into tasks that have to be dynamically assigned to the nodes of OPERA. Tasks can communicate with other tasks residing at nonlocal nodes through the use of reconfigurable switches. The key objective is to provide a reconfigurable computer architecture for a variety of distributed applications ranging from distributed database systems (Chu, 1982; Maitan, 1989) to multiprocessor clusters at nodes of wide-area networks (Tsai, 1989). The use of tasks which can migrate through the dynamically reconfigurable network in a fashion similar to packetized data introduces new possibilities, especially in the area of fault recovery and load balancing. OPERA may also be useful for solving complex decision making and optimization problems.
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References
Chu, W. (1982), “Optimal query processing for distributed database systems,” IEEE Transactions of Computers, Vol. C-31, No. 9, pp. 835-850
Davis, R., Smith, R.G. (1983), “Negotiation as a metaphor for distributed problem solving,” Artificial Intelligence, 20(1)
Gburzynski, P., Rudnicki, P. (1989), “On formal modeling of communication channels,” in the Proceedings of 8th Annual Joint Conf. on Comp. of IEEE Comp. and Comm. Soc., pp. 143-151
Maitan, J. (1988), “High-speed routing in fiber-optic networks,” Vol. 1, Technical Proposal, LMSC-D089579
Maitan, J., Ras, Z.W., Zemankova, M. (1989), “Query handling and learning in a distributed information system,” in Z. W. Ras (ed.), Methodologies for Intelligent Systems, IV, North Holland, 118-127
Michalski, R.S., Stepp, R.E. (1983), “Learning from observation: conceptual clustering,” in R.S. Michalski, J.G. Carbonell, & T.M. Mitchell (eds.), Machine Learning: An artificial intelligence approach. Palo Alto, Tioga Publishing Company.
Ras, Z.W. (1990), “Fault-recovery and intelligent distributed systems”, in the Proceedings of ISMVL-90 in Charlotte, N.C., IEEE Computer Society, 372-377
Ras, Z.W., Zemankova, M. (1990), “Intelligent query processing in distributed information systems”, in Z.W. Ras and M. Zemankova (eds), Intelligent Systems: State of the art and future directions, Ellis Horwood Series in Artificial Intelligence, London, England, 357–370.
Ras, Z.W. (1991), “Adaptable network architecture for distributed information systems”, in Proceedings of the SPIE’s International Symposium on Optical Engineering and Photonics in Aerospace Sensing, April 1–5, 1991, Orlando, FL
Singh, V., Genesereth, M. (1984), “A variable supply model for distributing deductions,” Technical Report HPP-84-14, Heuristic Programming Project, Comp. Science Dept., Stanford University
Tsai, W.T., Ramamoorthy, C.V., Tsai, W.K., Nishiguchi, O. (1989), “An adaptive hierarchical routing protocol,” IEEE Transactions on Computers, Vol. 38, No. 8, pp. 1059–1075.
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Maitan, J., Ras, Z.W. (1991). Reconfigurable Network Architecture for Distributed Problem Solving. In: Fedrizzi, M., Kacprzyk, J., Roubens, M. (eds) Interactive Fuzzy Optimization. Lecture Notes in Economics and Mathematical Systems, vol 368. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45700-5_14
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DOI: https://doi.org/10.1007/978-3-642-45700-5_14
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