Resource scheduling based on cooperative particle swarm optimization in trusted computing environment

In trust-based network computing environment, in order to establish a harmonious network environment, and enhance the network resources sharing utilization, resources scheduling research faces more problems than ever before. A resource scheduling algorithm, using cooperative particle optimization and putting task completion price and overall system trust benefits as optimized object, is proposed based on the trust model proposed by Internet-based Virtual Computing Environment (iVCE). Simulation results indicate that the algorithm has obvious performance advantage in the aspects of whole system credibility and resource utilization rate than other classic scheduling algorithms. The algorithm can realize rational scheduling of network resources, and optimize the system performance in trusted computing environment.