Research of a novel cloud task scheduling algorithm

With its flexibility, guaranteed quality of service and on-demand features such as resource allocation model, cloud computing is often used to handle large computing tasks, so efficient task scheduling strategies of cloud computing play a vital role. Given the uncertainty in the number of tasks and the time of arrival at the server, and the fact that, users tend to have certain expectations (such as task priority, execution time, etc.) for the implementation of the tasks, reasonable allocation of computing resources for task scheduling to satisfy users' QoS requirements is of great importance. A novel QoS-aware task scheduling mechanism (QTS) was proposed, this scheduling mechanism can best meet the user's QoS requirements. By comparing QTS with RR, Max-Min and Min-Min scheduling policies by CloudSim simulation, it was found that QTS is a more effective task scheduling mechanism.