Power-Aware Real-Time Scheduling upon Identical Multiprocessor Platforms

Authors:
Vincent Nélis;Joël Goossens;Raymond Devillers;Dragomir Milojevic;Nicolas Navet
Affiliations:
-;-;-;-;-
Venue:
SUTC '08 Proceedings of the 2008 IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (sutc 2008)
Year:
2008

Citing 0
Cited 4

Towards Adaptive Power-Aware Scheduling for Real-Time Tasks on DVS-Enabled Heterogeneous Clusters

GREENCOM-CPSCOM '10 Proceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing
Adaptive energy-efficient scheduling for real-time tasks on DVS-enabled heterogeneous clusters

Journal of Parallel and Distributed Computing
An off-line dynamic voltage scaling scheme in multiprocessor real-time scheduling

Proceedings of the 2012 ACM Research in Applied Computation Symposium
3E: Energy-efficient elastic scheduling for independent tasks in heterogeneous computing systems

Journal of Systems and Software

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we address the power-aware scheduling of sporadic constrained-deadline hard real-time tasks using dynamic voltage scaling upon multiprocessor platforms. We propose two distinct algorithms. Our first algorithm is an off-line speed determination mechanism which provides an identical speed for each processor. That speed guarantees that all deadlines are met if the jobs are scheduled using EDF. The second algorithm is an on-line and adaptive speed adjustment mechanism which reduces the energy consumption while the system is running.