Using Particle Swarm Optimization Algorithm to Improve Multi-Agents Network Management

Provided by: Binary Information Press
Topic: Security
Format: PDF
Network management is critical in the increasingly large scale distributed network systems and parallel computing architectures to ensure the security and performance optimization. In this paper, a particle swarm optimization algorithm is proposed for a domain partition based hierarchical network management method to alleviate the scalability limitation of the existing network management methods. The algorithm partitions devices to be managed into a given number of domains while each of the domains is load balanced. A disturbance strategy and an improved position updating method for particle are used in the algorithm to get a good solution.

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