Article ID: | iaor2008168 |
Country: | United Kingdom |
Volume: | 6 |
Issue: | 4 |
Start Page Number: | 395 |
End Page Number: | 404 |
Publication Date: | Jul 2003 |
Journal: | Journal of Scheduling |
Authors: | Schieber Baruch, Baptiste Philippe |
Keywords: | programming: linear |
We study the scheduling situation where n tasks, subjected to release dates and due dates, have to be scheduled on m parallel processors. We show that, when tasks have unit processing times and either require l or m processors simultaneously, the minimum maximal tardiness can be computed in polynomial time. Two algorithms are described. The first one is based on a linear programming formulation of the problem while the second one is a combinatorial algorithm. The complexity status of this ‘tall/small’ task scheduling problem