Machine Speed Scaling by Adapting Methods for Convex Optimization with Submodular Constraints-Reference-Cited by-同舟云学术

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Machine Speed Scaling by Adapting Methods for Convex Optimization with Submodular Constraints

Published:2017-11 Issue:4 Volume:29 Page:724-736
ISSN:1091-9856
Container-title:INFORMS Journal on Computing
language:en
Short-container-title:INFORMS Journal on Computing

Author:

Shioura Akiyoshi¹,Shakhlevich Natalia V.²,Strusevich Vitaly A.³^ORCID

Affiliation:

1. Department of Industrial Engineering and Economics, Tokyo Institute of Technology, Tokyo 152, Japan

2. School of Computing, University of Leeds, Leeds LS2 9JT, United Kingdom

3. Department of Mathematical Sciences, University of Greenwich, Old Royal Naval College, London SE10 9LS, United Kingdom

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Subject

General Engineering

Reference44 articles.

1. Algorithms for Energy Saving

2. Energy-efficient algorithms

3. On multi-processor speed scaling with migration

4. Speed Scaling on Parallel Processors

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2. Preemptive scheduling of parallel jobs of two sizes with controllable processing times;Journal of Scheduling;2023-04-07

3. Unrelated parallel machine scheduling problem with special controllable processing times and setups;Computers & Operations Research;2022-12

4. On a Reduction for a Class of Resource Allocation Problems;INFORMS Journal on Computing;2021-12-29

5. Approximation algorithms for energy-efficient scheduling of parallel jobs;Journal of Scheduling;2020-04-21

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