DocumentCode :
297484
Title :
ATM flow control schemes through a multi-agent system
Author :
Pujolle, G. ; Gaïti, D.
Author_Institution :
Versailles Univ., France
Volume :
1
fYear :
1993
fDate :
6-11 Sep 1993
Firstpage :
455
Abstract :
High-speed communication networks are expected soon. They should provide support for transmission of a large area of applications. To support these integrated services, high-speed networks are absolutely necessary. The ATM (Asynchronous Transfer Mode) technique seems suitable to take in charge all the constraints. However, a large number of problems have to be dealt with. In particular, flow control schemes to be applied and congestion control methods should be well adapted to the resources of the network. Moreover, flow control decisions have to be performed in a distributed manner. This leads to a very difficult problem: how to manage the flow control and congestion control parameters? In this paper a new flow control scheme is proposed based on a distributed algorithm. Due to the complexity of the problem, a multi-agent system is proposed, using Distributed Artificial Intelligence concepts, to control the parameters inside the network
Keywords :
artificial intelligence; asynchronous transfer mode; distributed algorithms; distributed control; telecommunication congestion control; ATM; Asynchronous Transfer Mode; Distributed Artificial Intelligence; complexity; congestion control; distributed algorithm; flow control scheme; high-speed networks; multi-agent system; Artificial intelligence; Asynchronous transfer mode; Communication networks; Communication system control; Control systems; Distributed algorithms; High definition video; High-speed networks; Intserv networks; Multiagent systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networks, 1993. International Conference on Information Engineering '93. 'Communications and Networks for the Year 2000', Proceedings of IEEE Singapore International Conference on
Print_ISBN :
0-7803-1445-X
Type :
conf
DOI :
10.1109/SICON.1993.515805
Filename :
515805
Link To Document :
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