Abstract:

This article proposes a cooperative relaying strategy to make efficient use of the relaying resources of Internet Service Providers (ISPs), speedup distribution and save server bandwidth costs. ISPs cooperatively relay for each other, and peers assist to distribute and fetch the content as near as possible. Base on fluid model, a constrained model is derived to get optimized global distribution performance in the channel-based system with limited relaying resources. The multi-objectives of the model are minimizing the average distribution time and the distribution time of the slowest channel. Genetic Algorithm (GA) is designed to solve the optimization problem. The relaying strategy based on GA can be run periodically to update the allocation policy of ISPs. The relaying strategy’s distribution performance is analyzed in the experiments and results show that GA can give proper solutions for various network topologies.

Key words:

Resource Allocation