Genetic Algorithm-based Implementation of Load Balancing Adaptation for Bio-network
Sun Fei · 2007
Adaptive network environments will become an indispensable important component of future Internet, while natural biological system is composed of dispersive, autonomous, and mobile biological individuals with self-regulation, adaptation, and survivability. Scheduling entities which are special bio-entities in the bio-network architecture were designed, and scheduling entities were utilized to guide migration of bio-entities in order to acquire load balancing of the bio-network. Also, a load balancing algorithm was proposed based on genetic algorithm. The algorithm aims at optimizing network load balancing and making bio-entities provide harmonically services to make full use of bio-network resource and enhance adaptation of bio-network. Finally, network services utilization was simulated and the experiment results show the validity of the algorithm.