Feedback scheduling of computing resources based on support vector machines
基于支持向量机的计算资源反馈调度

The computing resource is generally resources-limited in the real-time control systems (RTCS). Due to the uncertain running conditions and dynamic fluctuation of workload, the system always runs in an unexpected open environment. A feedback scheduling technique of computing resources based on support vector machines (SVM) was designed in order to ensure the system's stable running. The feedback scheduler of the system, which monitored the system's computing resources periodically, predicted a next sampling period for each control task by using SVM mechanism. Consequently, the computing resources of the system can be dynamically allocated online. The simulation of results highlights that the proposed scheduling technique is more effective in comparison with ideal case and traditional open-loop scheduling techniques.