© 2015. Oluwadare Samuel Adebayo, Olabode Olatunbosun, Iwasokun Gabriel Babatunde & Akinyede Raphael Olufemi. This is a
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Global Journal of Computer Science and Technology: B
Cloud and Distributed
Volume 15 Issue 4 Version 1.0 Year 2015
Type: Double Blind Peer Reviewed International Research Journal
Publisher: Global Journals Inc. (USA)
Online ISSN: 0975-4172 & Print ISSN: 0975-4350
Hybrid Genetic Algorithms for Scheduling High-Speed
Multimedia Systems
By Oluwadare Samuel Adebayo, Olabode Olatunbo
Iwasokun Gabriel Babatunde & Akinyede Raphael Olufemi
The Federal University of Technology, Akure, Nigeria
Abstract- It has been observed that most conventional operating systems could not cope with the
scheduling of multimedia tasks owing to the large size of these files. For instance, processing of
multimedia tasks using the traditional operating systems are fraught with problems such as low
quality of service and delay jitters. In order to address these problems, a scheduling algorithm
christened hybrid genetic algorithm for multimedia task scheduling (HGAMTS) was developed. It
employed heuristic knowledge of the problem domain to model a hybrid genetic algorithm in a
multiprocessor environment. The system is made up of the scheduler model and the task model.
The scheduler model consist a centralized dynamic scheduling scheme. In this scheme, all tasks
arrive at a central processor (scheduler). The model has a minimum of five and maximum of ten
processors. Attached to each processor is a dispatch queue.
Keywords: scheduling algorithms, hybrid genetic algorithm, multimedia system, operating system,
multiprocessor system.
GJCST-B Classification : B.2.4
HybridGeneticAlgorithmsforSchedulingHighSpeedMultimediaSystems
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