Most researches concerning real-time system scheduling assumes scheduling constraint to be precise. However, in real world scheduling is a decision making process which involves vague constraints and uncertain data. Fuzzy constraints are particularly well suited for dealing with imprecise data. This paper proposes a fuzzy scheduling approach to real-time system scheduling in which the scheduling parameters are treated as fuzzy variables. A simulation is also performed and the results are compared with both EDF and LLF scheduling algorithms. The latter two algorithms are the most commonly used algorithms for scheduling real-time processes. It is concluded that the proposed fuzzy approach is very promising and it has the potential to be considered for future research. © 2006 Springer.
CITATION STYLE
Sabeghi, M., Naghibzadeh, M., & Taghavi, T. (2006). A fuzzy algorithm for scheduling soft periodic tasks in preemptive real-time systems. In Advances in Systems, Computing Sciences and Software Engineering - Proceedings of SCSS 2005 (pp. 11–16). Kluwer Academic Publishers. https://doi.org/10.1007/1-4020-5263-4_3
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