NDLI: Scheduling non-preemptive periodic tasks in soft real-time systems using fuzzy inference

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Scheduling non-preemptive periodic tasks in soft real-time systems using fuzzy inference

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Scheduling non-preemptive periodic tasks in soft real-time systems using fuzzy inference

Content Provider	IEEE Xplore Digital Library
Author	Sabeghi, M. Naghibzadeh, M. Taghavi, T.
Copyright Year	2006
Description	Author affiliation: Ferdowsi Univ. of Mashhad (Sabeghi, M.; Naghibzadeh, M.; Taghavi, T.)
Abstract	Many scheduling algorithms have been studied to guarantee the time constraints of real-time processes. Scheduling decision of these algorithms is usually based on parameters which are assumed to be crisp. 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. We have proposed a new fuzzy algorithm called highest fuzzy priority first. The performance of this algorithm is compared with the well-known earliest deadline first algorithm through simulation. For both algorithms, tasks are considered to be non-preemptable. Simulation results show that this fuzzy approach outperforms the earliest deadline first has algorithm in that it decreases the number of missed deadlines and serves more important tasks better
File Size	232313
File Format	PDF
ISBN	076952561X
DOI	10.1109/ISORC.2006.70
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-04-24
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Real time systems Fuzzy systems Scheduling algorithm Time factors Inference algorithms Fuzzy logic Resource management Runtime Heuristic algorithms Distributed computing HFPF. Fuzzy scheduling real-time systems EDF
Content Type	Text
Resource Type	Article

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