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Discrete Applied Mathematics
Volume 65, Issues 1-3, 7 March 1996, Pages 81-95
First International Colloquium on Graphs and Optimization
 
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doi:10.1016/0166-218X(95)00020-R    How to Cite or Link Using DOI (Opens New Window)
Copyright © 1996 Published by Elsevier Science B.V.

Deadline scheduling of multiprocessor tasks

J. Blazewicza, c, Corresponding Author Contact Information, 1, M. Drozdowskia, 1, D. de Werrab and J. Weglarza

a Instytut Informatyki, Politechnika Poznan, Poznan, Poland b Departement de Mathématiques. École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland c Instytut Informatyki Teoretycznej i Stosowanej, Gliwice, Poland

Received 2 November 1992; 
revised 15 October 1993. 
Available online 18 February 2000.

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Abstract

In the classical scheduling theory it is widely assumed that any task requires for its processing only one processor at a time. Nowadays with the technological progress this assumption has become not so obvious. In the paper, two algorithms for solving the problem of scheduling tasks requiring more than one processor at a time in the real-time environment, will be given. The first is based on a generation of all feasible layouts of tasks and on an application of linear programming. The second — heuristic one — is based on the descent search in solution space and the tabu search metaheuristic combined with linear programming. Results of a computational comparison of the two methods, are also reported.

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Discrete Applied Mathematics
Volume 65, Issues 1-3, 7 March 1996, Pages 81-95
First International Colloquium on Graphs and Optimization
 
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