Scheduling malleable tasks with interdependent processing rates: Comments and observations

Edmund K. Burke; Moshe Dror; James B. Orlin

doi:10.1016/j.dam.2007.08.008

Scheduling malleable tasks with interdependent processing rates: Comments and observations

Edmund K. Burke, Moshe Dror, James B. Orlin

Management Information Systems

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

In this short paper, we examine the problem of scheduling malleable tasks on parallel processors. One of the main aims of the paper is to present a simple complexity interpretation for a number of results for cases with convex and concave processing speed functions. The contribution of this paper is a new unified view of results described in several recent papers. We briefly discuss the implications of our observations on this important family of scheduling problems.

Original language	English (US)
Pages (from-to)	620-626
Number of pages	7
Journal	Discrete Applied Mathematics
Volume	156
Issue number	5
DOIs	https://doi.org/10.1016/j.dam.2007.08.008
State	Published - Mar 1 2008

Keywords

Malleable tasks
Parallel machines

ASJC Scopus subject areas

Discrete Mathematics and Combinatorics
Applied Mathematics

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10.1016/j.dam.2007.08.008

Cite this

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Scheduling malleable tasks with interdependent processing rates: Comments and observations

Abstract

Keywords

ASJC Scopus subject areas

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