On the Optimal Stochastic Scheduling of Out-Forests
This paper presents new results on the problem of scheduling jobs on K ≥ 1 parallel processors to stochastically minimize the makespan. The jobs are subject to out-forest precedence constraints, i.e., each job has at most one immediate predecessor, and job running times are independent samples from...
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| Published in: | Operations research Vol. 40; no. 1-supplement-1; pp. S67 - S75 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Linthicum, MD
INFORMS
01.01.1992
Operations Research Society of America Institute for Operations Research and the Management Sciences |
| Subjects: | |
| ISSN: | 0030-364X, 1526-5463 |
| Online Access: | Get full text |
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| Summary: | This paper presents new results on the problem of scheduling jobs on
K
≥ 1 parallel processors to stochastically minimize the makespan. The jobs are subject to out-forest precedence constraints, i.e., each job has at most one immediate predecessor, and job running times are independent samples from a given exponential distribution. We define a class of
uniform
out-forests in which all subtrees are ordered by an embedding relation. We prove that an intuitive greedy policy is optimal for
K
= 2, and that if out-forests satisfy an additional, uniform
root-embedding
constraint, then the greedy policy is optimal for all
K
≥ 2. |
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| Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-1 |
| ISSN: | 0030-364X 1526-5463 |
| DOI: | 10.1287/opre.40.1.S67 |