Energy-aware scheduling for aperiodic tasks on multi-core processors

Dawei Li, Jie Wu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations


As the performance of modern multi-core processors increases, the energy consumption in these systems also increases significantly. Dynamic Voltage and Frequency Scaling (DVFS) is considered an efficient scheme for achieving the goal of saving energy. In this paper, we consider scheduling a set of independent aperiodic tasks, whose release times, deadlines and execution requirements are arbitrarily given, on DVFS-enabled multi-core processors. Our goal is to meet the execution requirements of all the tasks, and to minimize the overall energy consumption on the processor. Instead of seeking optimal solutions with high complexity, we aim to design lightweight algorithms suitable for real-time systems, with good performances. By applying a subinterval-based method, we come up with a simple algorithm to allocate tasks' available execution times during a heavily overlapped subinterval based on their desired execution requirement during that subinterval. Based on the allocated available execution times, we further consider the final frequency setting and task scheduling, which guarantee that all tasks meet their execution requirements, and tries to minimize the overall energy consumption. Extensive simulations for various platform and task characteristics and evaluations using a practical processor's power configuration indicate that our proposed algorithm has a good performance in terms of saving processor energy, though it has low complexity. Besides, the proposed algorithm is easy to be implemented in practical systems.

Original languageEnglish
Title of host publicationProceedings - 43rd International Conference on Parallel Processing, ICPP 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages10
ISBN (Electronic)9781479956180
StatePublished - 13 Nov 2014
Event43rd International Conference on Parallel Processing, ICPP 2014 - Minneapolis, United States
Duration: 9 Sep 201412 Sep 2014

Publication series

NameProceedings of the International Conference on Parallel Processing
ISSN (Print)0190-3918


Other43rd International Conference on Parallel Processing, ICPP 2014
Country/TerritoryUnited States


  • Aperiodic tasks
  • Dynamic Voltage and Frequency Scaling (DVFS)
  • Energy-aware scheduling
  • Multi-core processors
  • Subinterval approach


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