Power-optimized scheduling server for real-time tasks

Pedro Mejia-Alvarez, Eugene Levner, Daniel Mosse

Research output: Contribution to journalConference articlepeer-review

20 Scopus citations


In this paper we propose a novel scheduling framework for a dynamic real-time environment with energy constraints. This framework dynamically adjusts the CPU voltage/frequency so that no task in the system misses its deadline and the total energy savings of the system are maximized. In this paper we consider only realistic, discrete-level speeds. Each task in the system consumes a certain amount of energy, which depends on a speed chosen for execution. The process of selecting speeds for execution while maximizing the energy savings of the system requires the exploration of a large number of combinations, which is too time consuming to be computed online. Thus, we propose an integrated heuristic methodology which executes an optimization procedure in a. low computation time. This scheme allows the scheduler to handle power-aware real-time tasks with low cost while maximizing the use of the available resources and without jeopardizing the temporal constraints of the system. Simulation results show that our heuristic methodology is able to generate power-aware scheduling solutions with near-optimal performance.

Original languageEnglish
Article number1137399
Pages (from-to)239-250
Number of pages12
JournalReal-Time Technology and Applications - Proceedings
StatePublished - 2002
Externally publishedYes
Event8th IEEE Real-Time and Embedded Technology and Applications Symposium, RTAS 2002 - San Jose, CA, United States
Duration: 25 Sep 200227 Sep 2002


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