Title :
An inter-task real time DVFS scheme for multiprocessor embedded systems
Author :
Bhatti, Muhammad Khurram ; Belleudy, Cecile ; Auguin, Michel
Author_Institution :
LEAT Res. Lab., Univ. of Nice-Sophia Antipolis, Nice, France
Abstract :
In this paper, we have addressed energy-efficient scheduling of real time applications intended to be executed on multiprocessor systems. Our proposed technique, called Deterministic Stretch-to-Fit (DSF) technique, is based on inter-task real time dynamic voltage and frequency scaling (RT-DVFS). It mainly comprises of three components. Firstly, we propose an online algorithm to reclaim energy by adapting to the variations in actual workload of target application tasks. Secondly, we extend our online algorithm with an adaptive and speculative speed adjustment mechanism. This mechanism anticipates early completion of future task instances based on the information of their average workload. Thirdly, we propose a one-task extension technique for multi-task multiprocessor systems. No real time constraints of target application are violated while applying our proposed technique. Simulation results show that our online slack reclamation algorithm alone gives up to 53% gains on energy consumption and our extended speculative speed adjustment mechanism, along with the one-task extension technique, gives additional gains, reaching a theoretical low-bound on the scalable frequency and voltage.
Keywords :
embedded systems; multiprocessing systems; power aware computing; processor scheduling; deterministic stretch to fit technique; energy consumption; energy efficient scheduling; frequency scaling; inter task real time dynamic voltage; multi-task multiprocessor systems; multiprocessor embedded system; one task extension technique; speculative speed adjustment; Dynamic scheduling; Heuristic algorithms; Optimal scheduling; Processor scheduling; Real time systems; Schedules; Energy-efficient scheduling; Power consumption; RT-DVFS; Real time systems; Scheduling;
Conference_Titel :
Design and Architectures for Signal and Image Processing (DASIP), 2010 Conference on
Conference_Location :
Edinburgh
Print_ISBN :
978-1-4244-8734-9
Electronic_ISBN :
978-1-4244-8733-2
DOI :
10.1109/DASIP.2010.5706257