A Performance Analysis of Minimum Laxity and Earliest Deadline Scheduling in a Real-Time System
IEEE Transactions on Computers
Real-Time Scheduling Theory and Ada
Computer
A course in fuzzy systems and control
A course in fuzzy systems and control
Scheduling Algorithms for Multiprogramming in a Hard-Real-Time Environment
Journal of the ACM (JACM)
Industrial Applications of Fuzzy Control
Industrial Applications of Fuzzy Control
Fixed-priority preemptive multiprocessor scheduling: to partition or not to partition
RTCSA '00 Proceedings of the Seventh International Conference on Real-Time Systems and Applications
| Hi-index | 0.00 |
In this paper we consider the use of fuzzy logic in the scheduling of periodic tasks in soft real-time multiprocessor systems. Most researches concerning real-time system scheduling assumes scheduling constraint to be precise. However, in many circumstances the values of these parameters are vague. The vagueness of parameters suggests that we make use of fuzzy logic to decide in what order the requests should be executed to better utilize the system and as a result reduce the chance of a request being missed. Our main contribution is proposing a fuzzy approach to multiprocessor real-time scheduling in which the scheduling parameters are treated as fuzzy variables. A simulation is also performed and the results are judged against each other. It is concluded that the proposed fuzzy approach is very promising and it has the potential to be considered for future research.