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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.
Oluwadare Samuel Adebayo, Olabode Olatunbosun, Iwasokun Gabriel Babatunde. 2015. "Hybrid Genetic Algorithms for Scheduling High-Speed Multimedia Systems". Global Journal of Computer Science and Technology - B: Cloud & Distributed GJCST-B Volume 15 (GJCST Volume 15 Issue B4).
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
v1.2
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Total Score: 144
Country: Nigeria
Subject: Global Journal of Computer Science and Technology
Authors: Oluwadare Samuel Adebayo, Olabode Olatunbosun, Iwasokun Gabriel Babatunde, Akinyede Raphael Olufemi (PhD/Dr. count: 0)
View Count (all-time): 497
Total Views (Real + Logic): 2428
Total Downloads (simulated): 145
Publish Date: 2015 01, Thu
Monthly Totals (Real + Logic):
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