Fuzzy logic model for dynamic multiprocessor scheduling

In this paper, we propose a dynamic task scheduling technique based on fuzzy logic. The main objective of the work is to implement load balancing in scheduling tasks on a network of processing elements. The fuzzy engine we propose is capable of processing inputs from incomplete and ambiguous data th...

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Main Authors: Salleh, Shaharuddin, Sanugi, Bahrom, Jamaluddin, Hishamuddin
Format: Article
Language:English
Published: Faculty of Science 1999
Subjects:
Online Access:http://eprints.utm.my/2694/1/BaharomSanugi1999_fuzzy_logic_model.pdf
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author Salleh, Shaharuddin
Sanugi, Bahrom
Jamaluddin, Hishamuddin
author_facet Salleh, Shaharuddin
Sanugi, Bahrom
Jamaluddin, Hishamuddin
author_sort Salleh, Shaharuddin
collection ePrints
description In this paper, we propose a dynamic task scheduling technique based on fuzzy logic. The main objective of the work is to implement load balancing in scheduling tasks on a network of processing elements. The fuzzy engine we propose is capable of processing inputs from incomplete and ambiguous data that arises from the current state of the processors. In the model, an arriving task is placed in a central queue based on the first-come-first-serve rule. When the task is ready to be assigned, its information is passed to the processors for bidding. One processor acts as the global scheduler to monitor the overall activities, while all others have local schedulers for managing their own activities. The latter supplies information on its current state and follows whatever decision given by the former. The two components work together and the global scheduler uses the fuzzy logic mechanism in making decision on the task assignment. Our experimental work shows promising results in achieving the objective
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spelling utm.eprints-26942010-08-13T04:33:22Z http://eprints.utm.my/2694/ Fuzzy logic model for dynamic multiprocessor scheduling Salleh, Shaharuddin Sanugi, Bahrom Jamaluddin, Hishamuddin QA Mathematics In this paper, we propose a dynamic task scheduling technique based on fuzzy logic. The main objective of the work is to implement load balancing in scheduling tasks on a network of processing elements. The fuzzy engine we propose is capable of processing inputs from incomplete and ambiguous data that arises from the current state of the processors. In the model, an arriving task is placed in a central queue based on the first-come-first-serve rule. When the task is ready to be assigned, its information is passed to the processors for bidding. One processor acts as the global scheduler to monitor the overall activities, while all others have local schedulers for managing their own activities. The latter supplies information on its current state and follows whatever decision given by the former. The two components work together and the global scheduler uses the fuzzy logic mechanism in making decision on the task assignment. Our experimental work shows promising results in achieving the objective Faculty of Science 1999-12 Article PeerReviewed application/pdf en http://eprints.utm.my/2694/1/BaharomSanugi1999_fuzzy_logic_model.pdf Salleh, Shaharuddin and Sanugi, Bahrom and Jamaluddin, Hishamuddin (1999) Fuzzy logic model for dynamic multiprocessor scheduling. Matematika, 15 (2 ). pp. 95-109. ISSN 0127-8274 http://www.fs.utm.my/matematika/content/view/42/31/
spellingShingle QA Mathematics
Salleh, Shaharuddin
Sanugi, Bahrom
Jamaluddin, Hishamuddin
Fuzzy logic model for dynamic multiprocessor scheduling
title Fuzzy logic model for dynamic multiprocessor scheduling
title_full Fuzzy logic model for dynamic multiprocessor scheduling
title_fullStr Fuzzy logic model for dynamic multiprocessor scheduling
title_full_unstemmed Fuzzy logic model for dynamic multiprocessor scheduling
title_short Fuzzy logic model for dynamic multiprocessor scheduling
title_sort fuzzy logic model for dynamic multiprocessor scheduling
topic QA Mathematics
url http://eprints.utm.my/2694/1/BaharomSanugi1999_fuzzy_logic_model.pdf
work_keys_str_mv AT sallehshaharuddin fuzzylogicmodelfordynamicmultiprocessorscheduling
AT sanugibahrom fuzzylogicmodelfordynamicmultiprocessorscheduling
AT jamaluddinhishamuddin fuzzylogicmodelfordynamicmultiprocessorscheduling