New Fuzzy Techniques for Real-Time Task Scheduling on Multiprocessor Systems
||International Journal of Computer Trends and Technology (IJCTT)||
|© 2017 by IJCTT Journal|
|Year of Publication : 2017|
|Authors : Matthew T. Ogedengbe, Moses A. Agana|
|DOI : 10.14445/22312803/IJCTT-V47P129|
Matthew T. Ogedengbe, Moses A. Agana "New Fuzzy Techniques for Real-Time Task Scheduling on Multiprocessor Systems". International Journal of Computer Trends and Technology (IJCTT) V47(3):189-196, May 2017. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Real-time computing is rapidly gaining more technological advancement whereby real-time tasks were been scheduled and programmed on computer systems within a time constraint. In this paper, a new fuzzy scheduling algorithms (NFSA) for real-time tasks was proposed which comprises of Arrival time, Computation time, and Deadline as the input scheduling parameters. The proposed NFSA was compared with the Existing Fuzzy Algorithm (EFA) algorithm for performance evaluations. The FEDF algorithm comprises of two inputs scheduling parameters which are deadline and external priority. Tasks were scheduled on multiprocessor at higher system load using fuzzy techniques for both (NFSA and EFA) algorithms. The outputs (runtime priorities) of the simulation were used to schedule tasks in an internal priority (ready) queue for execution on multiprocessor. Results show that the NFSA has a better performance compare to EFA at higher system load. The following performance metrics were considered for the evaluation; minimum response time, turnaround time and number of deadline missed.
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Fuzzy Logic, membership function, Real-time systems, task, multiprocessor scheduling.