Integration of mobile agents and genetic algorithms for efficient dynamic network resource allocation
Document Type
Conference Proceeding
Publication Date
1-1-2001
Abstract
In this paper 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.
Identifier
0034860148 (Scopus)
Publication Title
IEEE Symposium on Computers and Communications Proceedings
First Page
456
Last Page
465
Recommended Citation
Papavassiliou, S.; Puliafito, A.; Tomarchio, O.; and Ye, J., "Integration of mobile agents and genetic algorithms for efficient dynamic network resource allocation" (2001). Faculty Publications. 15344.
https://digitalcommons.njit.edu/fac_pubs/15344
