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Predictability of Least Laxity First Scheduling Algorithm on Multiprocessor Real-Time Systems.

Authors :
Xiaobo Zhou
Sokolsky, Oleg
Lu Yan
Eun-Sun Jung
Zili Shao
Yi Mu
Dong Chun Lee
Daeyoung Kim
Young-Sik Jeong
Cheng-Zhong Xu
Sangchul Han
Minkyu Park
Source :
Emerging Directions in Embedded & Ubiquitous Computing; 2006, p755-764, 10p
Publication Year :
2006

Abstract

A priority-driven scheduling algorithm is said to be start time (finish time) predictable if the start time (finish time) of jobs in the schedule where each job executes for its actual execution time is bounded by the start times (finish times) of jobs in the schedules where each job executes for its maximum/minimum execution time. In this paper, we study the predictability of a job-level dynamic priority algorithm, LLF (Least Laxity First), on multiprocessor real-time systems. We present a necessary and sufficient condition for a priority-driven algorithm to be start time (finish time) predictable. Then, in LLF scheduling, we show that both the start time and the finish time are predictable if the actual execution times cannot be known. However, solely the finish time is predictable if the actual execution times can be known. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540368502
Database :
Complementary Index
Journal :
Emerging Directions in Embedded & Ubiquitous Computing
Publication Type :
Book
Accession number :
32717478
Full Text :
https://doi.org/10.1007/11807964_76