Power-Aware EDZL Scheduling upon Identical Multiprocessor Platforms

Upon multiprocessor platforms, global EDZL is known to be at least as effective as global EDF in scheduling task sets to meet deadlines, but there has been no research on power-aware EDZL scheduling. In this paper, we firstly address the problem of reducing energy consumption of real-time tasks on E...

Full description

Saved in:
Bibliographic Details
Published inReliable and Autonomous Computational Science pp. 61 - 80
Main Authors Piao, Xuefeng, Kim, Heeheon, Cho, Yookun, Han, Sangchul, Park, Minkyu, Park, Monju, Cho, Seongje
Format Book Chapter
LanguageEnglish
Published Basel Springer Basel
SeriesAutonomic Systems
Subjects
Dynamic Voltage Scaling
Normalize Energy Consumption
Periodic Task
Static Speed
Total Utilization
Online AccessGet full text

Cover

More Information
Summary:Upon multiprocessor platforms, global EDZL is known to be at least as effective as global EDF in scheduling task sets to meet deadlines, but there has been no research on power-aware EDZL scheduling. In this paper, we firstly address the problem of reducing energy consumption of real-time tasks on EDZL scheduling by lowering processor speed. An off-line algorithm and an on-line algorithm are proposed to reduce energy consumption while guaranteeing a hard real-time constraint. Then we show the effectiveness of our algorithms through extensive simulation.
ISBN:9783034800303
3034800304
DOI:10.1007/978-3-0348-0031-0_4