An Adaptive Fuzzy Scheduling and Fuzzy-PID Perfomance Control Model Being Suitable to Soft Real-Time Systems

Considering the unsteadiness and unpredictability of a practical task running environment due to the unsteadiness of network communication and the estimation deviation, it is necessary to introduce fuzzy concept and theory to the scheduling and performance control of the soft real-time application s...

Full description

Saved in:
Bibliographic Details
Main Authors: Xian-Bo He, Li Yang, Xian-hua Zeng, Gang-yuan Zhang, Xing-qiang Zhao
Format: Conference Proceeding
Language:English
Subjects:
Adaptive control
Adaptive scheduling
Communication system control
Control systems
CPU utilization
deadline missing ratio
Fuzzy control
fuzzy feedback control
Fuzzy systems
PID
Programmable control
Real time systems
Scheduling algorithm
Three-term control
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Considering the unsteadiness and unpredictability of a practical task running environment due to the unsteadiness of network communication and the estimation deviation, it is necessary to introduce fuzzy concept and theory to the scheduling and performance control of the soft real-time application systems oriented communication and network fields. In this paper, a new adaptive soft real-time task scheduling model with the fuzzy-PID feedback controller was presented. In this model, we used the fuzzy scheduling algorithm in which the scheduling turn of a ready task is decided by the fuzzy inference result of its criticality and deadline distance. Meanwhile,in the adaptive control part, we used the fuzzy-PID controller that combines the fuzzy feedback controller and PID controller instead of traditonal PID controller. The simulation test shows that our presented model can enable a soft real-time systems which has the mulit-level service characteristic reach the steady state faster and has less miss ratio to more important tasks.
DOI:10.1109/IAS.2009.269