A Multi-task Scheduling Algorithm for Cloud Robots

Abstract

Cloud robot technology is to transfer the computing power of the robot to the cloud. The tasks are distributed to computing nodes for execution, but the previous scheduling algorithms have large task execution makespan, load imbalancing for scheduling, and low QoS, resulting in low execution efficiency. In order to efficiently allocate tasks and improve the performance of cloud robot systems, this paper proposes a multi-task scheduling algorithm based on Min-Min algorithm in cloud computing. Through multi-task simulation experiments, the algorithm can deal with complex multi-task scenarios of cloud robots, effectively improve the performance and QoS of cloud robots, solve the problem of load imbalancing in cloud robot systems, and realize the demand for priority processing tasks.