Distributed Intelligent Collaborative Scheduling Mechanism for Cloud-Edge-End Resources in IoT

With the integration and development of the Internet of Things (IoT), the service model of IoT has gradually evolved from traditional “data collection and business processing” to “providing ubiquitous and universal services through collaboration between cloud, edge, and end resources”. However, traditional methods rely on centralized servers, which pose challenges in terms of trust, cost, and single points of failure. To overcome these challenges, we propose a distributed intelligent collaborative scheduling mechanism. First, we establish a distributed collaborative environment based on blockchain and construct a resource scheduling model. Second, we propose an intelligent collaborative mechanism for workload balancing based on reinforcement learning. This mechanism ensures the efficient allocation of resources across the network. Lastly, we design simulation experiments to evaluate the effectiveness of the proposed mechanism, and the results demonstrate its efficiency.