A Novel Adaptive Neuro Fuzzy Inference System Based CPU Scheduler for Multimedia Operating System
Mohammad Atique, Mir Sadique Ali · IEEE International Conference on Neural Networks/IEEE ... International Conference on Neural Networks · 2007
In this paper we propose a novel CPU Scheduler based on Adaptive Neuro Fuzzy Inference System (ANFIS), to support the execution of multimedia applications along with conventional applications in multimedia operating system. Adaptive Neuro-Fuzzy Inference System (ANFIS) can be used to solve highly non-linear dynamic problems. This paper shows how an ANFIS can be used to optimize CPU scheduling in multimedia operating system. This adaptive intelligent scheduler should be considered as middle layer software, aware of current available resources. This scheduler takes decision based on the past experiences. We have used ANFIS architecture, which is able to cluster the data distributed in a multi dimensional input space using a set of fuzzy rules. A simulator is developed in Matlab 7.2.0.232 and the performance of the proposed scheduler is evaluated against the existing algorithms. It is demonstrated that, the proposed scheduler is able to optimize various CPU scheduling parameters as well as resource utilization.