Resource Scheduling of Complex System Based on Fuzzy Clustering

To improve the resource utilization of complex hardware/software systems, a fuzzy taskresource clustering model was proposed in response to real-time tasks, using the average distance to show the membership of fuzzy sets. The fuzzy similar coefficient was defined. In addition, the Resource Clustering Algorithm (RCA) was designed to cluster real-time tasks and historical tasks, and according to clustering results, the systems would analyze resources occupation and respond to real-time tasks rapidly. Through the simulation test on a certain complex hardware/software system, the result shows that the proposed algorithm can be used effectively in the resources scheduling.