Scheduling Non-Preemptive Periodic Tasks in Soft Real-Time Systems using Fuzzy Inference

2006 ◽  
Author(s):  
M. Sabeghi ◽  
M. Naghibzadeh ◽  
T. Taghavi
Keyword(s):  
Real Time ◽  
Fuzzy Inference ◽  
Real Time Systems ◽  
Periodic Tasks ◽  
Time Systems

Real-Time Model Building of CNC System and its Schedulable Analysis

2011 ◽  
Vol 179-180 ◽  
pp. 220-225
Author(s):  
Jie Li ◽  
Rui Feng Guo ◽  
Zhi Xiang Shao
Keyword(s):  
Real Time ◽  
Task Scheduling ◽  
Model Building ◽  
Real Time Systems ◽  
Cnc System ◽  
Periodic Tasks ◽  
Time Model ◽  
Important Research Topic ◽  
Task Requirements ◽  
Time Systems

Task scheduling is an important research topic of real-time systems. Compared with the common real-time systems, CNC system has its own features. In this paper, we propose an adaptive task scheduling model for CNC system and analyze its schedulability. The model is suitable to the uncertainty of open computing environment and can accept the running of different types of tasks. It can compute band changes according to the latest changes of system resources and task requirements. It adjusts tasks’ priorities adaptively and makes the system run in optimal real-time performance. On the basis of CNC system, we will further optimize the model by studying the characteristics of periodic tasks and scheduling time overhead. Finally, this model will be used in practical CNC system.

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