TAILIEUCHUNG - Tối ưu hóa viễn thông và thích nghi Kỹ thuật Heuristic P17

In recent years, flow control and network management in high speed networks have drawn much attention by researchers in the telecommunications field. In large-scale network environments with high complexity, decentralized control and decision making are required. Many research papers concerned with multidisciplinary approaches to modeling, controlling and managing networks from a computational intelligence point of view appear in the key telecommunication journals every year. | Telecommunications Optimization Heuristic and Adaptive Techniques. Edited by David W. Corne Martin J. Oates George D. Smith Copyright 2000 John Wiley Sons Ltd ISBNs 0-471-98855-3 Hardback 0-470-84163X Electronic 17 Intelligent Flow Control under a Game Theoretic Framework Huimin Chen and Yanda Li Introduction In recent years flow control and network management in high speed networks have drawn much attention by researchers in the telecommunications field. In large-scale network environments with high complexity decentralized control and decision making are required. Many research papers concerned with multidisciplinary approaches to modeling controlling and managing networks from a computational intelligence point of view appear in the key telecommunication journals every year. However only a few of them concentrate on the similarity between resource allocation in a network environment and the market mechanism in economic theory. By taking an economic market based and game theoretic approach in the flow control of a communication network we seek solutions where the intelligence and decision making is distributed and is thus scalable and the objective of a more efficient and fair utilization of shared resources results from the induced market dynamics. Unlike other decentralized approaches our main focus is on using computational intelligence to model the distributed decision agents and to study the dynamic behavior under game-theoretic framework in allocating network resources. By viewing a network as a collection of resources which users are selfishly competing for our research aims at finding efficient decentralized algorithms leading to network architectures which provide explicit Quality of Service QoS guarantees the crucial issue in high speed multimedia networks. There are several parallel research projects from different institutions dealing with this complicated issue. COMET at Columbia Unversity http research Telecommunications .

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