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Low complexity scheduling algorithms minimizing the energy for tasks with agreeable deadlines

  • Published:2014-10 Issue: Volume:175 Page:1-10
  • ISSN:0166-218X
  • Container-title:Discrete Applied Mathematics
  • language:en
  • Short-container-title:Discrete Applied Mathematics

Author:

Angel Eric,Bampis Evripidis,Chau Vincent

Publisher

Elsevier BV

Subject

Applied Mathematics,Discrete Mathematics and Combinatorics

Reference8 articles.

1. Energy-efficient algorithms;Albers;Commun. ACM,2010

2. Scheduling unit tasks to minimize the number of idle periods: a polynomial time algorithm for offline dynamic power management;Baptiste,2006

3. Polynomial time algorithms for minimum energy scheduling;Baptiste,2007

4. Modèles et Algorithmes en Ordonnancement;Baptiste,2004

5. On the no-wait single-machine scheduling problem;Chrétienne,2005

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1. Balancing Flow Time and Energy Consumption;Proceedings of the 34th ACM Symposium on Parallelism in Algorithms and Architectures;2022-07-11

2. Dynamic Programming for the Synchronization of Energy Production and Consumption Processes;Recent Advances in Computational Optimization;2021-12-15

3. No-idle parallel-machine scheduling of unit-time jobs with a small number of distinct release dates and deadlines;Computers & Operations Research;2021-08

4. Scheduling with gaps: new models and algorithms;Journal of Scheduling;2021-07-21

5. Pipe-lining dynamic programming processes to synchronize both the production and the consumption of energy;RAIRO - Operations Research;2021-07
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