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Integration of mobile agents and genetic algorithms for efficient dynamic network resource allocation

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4 Author(s)
Papavassiliou, S. ; Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ, USA ; Puliafito, A. ; Tomarchio, O. ; Jian Ye

An agent based approach is investigated to build a framework where resource allocation is provided under the control of different and often competing stake-holders (users, network providers, service providers, etc.). This paper also describes the efficient integration and adoption of mobile agents and genetic algorithms in the implementation of an effective strategy for the development of effective market based routes for brokering purposes in the future multi-operator network marketplace. The agent-based network management approach represents an underlying framework and structure for the multi-operator network model, and can be used to collect all the required management data. The proposed genetic algorithm provides a kind of stochastic algorithm searching process in order to identify optimal resource allocation strategies

Published in:

Computers and Communications, 2001. Proceedings. Sixth IEEE Symposium on

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