Abstract
This report outlines the JCETD (Joint Cloud-Edge Task Deployment) strategy, aimed at optimizing task deployment and load balancing within joint cloud-edge datacenters. The methodology involves simulating the task deployment process as a deep reinforcement learning endeavor within the cloudedge model. Through continuous exploration and utilization of the system environment, tasks are strategically allocated to ensure optimal performance and load balancing. The ultimate goal is to achieve efficient computing capabilities and overall system equilibrium within the cloud-edge infrastructure. Key Words: Task Deployment, Cloud Scheduling, Load Balancing.
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