Multi-Agent Scheduling System in Cloud Manufacturing Environment

Aiming at the dynamic and distributed characteristics of cloud resources and the real-time requirements of cloud tasks in cloud manufacturing environment, a multi-agent framework for dynamic optimized scheduling system is designed in this paper. In addition, a responsive algorithm is proposed according to the real-time of the arriving jobs and the intelligence of the scheduling process. Finally, a small sample is analyzed to validate the proposed framework and the comparative experiments are made to test the flexibility and efficiency of the proposed responsive algorithm.