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A Server-based Approach for Overrun Management in Multi-Core Real-Time Systems
Publication Type:
Conference/Workshop Paper
Venue:
The 19th IEEE International Conference on Emerging Technologies and Factory Automation
Abstract
This paper presents a server-based framework for
task overrun management in multi-core real-time systems. Unlike
most existing scheduling methods which usually assume a single
upper bound of the Worst-Case Execution Time (WCET) for each
task, our approach targets scenarios with task overruns. The main
idea of our framework is to employ Synchronized Deferrable
Servers (SDS) to deal with globally scheduled task overruns,
while a partitioned scheduling approach is applied on regular
task executions. Moreover, we provide a deterministic Worst-
Case Response Time (WCRT) analysis focusing on hard timing
constraints, along with a probabilistic analysis of Deadline Miss
Ratio (DMR) for soft real-time applications. In the evaluation
phase, we have implemented two types of experiments evaluating
different timing constraints.
Bibtex
@inproceedings{Liu3752,
author = {Meng Liu and Moris Behnam and Shinpei Kato and Thomas Nolte},
title = {A Server-based Approach for Overrun Management in Multi-Core Real-Time Systems},
month = {September},
year = {2014},
booktitle = {The 19th IEEE International Conference on Emerging Technologies and Factory Automation},
url = {http://www.es.mdu.se/publications/3752-}
}