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A Comparison of Partitioning Strategies for Fixed Points Based Limited Preemptive Scheduling

Publication Type:

Journal article

Venue:

IEEE Transactions on Industrial Informatics

Publisher:

IEEE

DOI:

10.1109/TII.2018.2848879


Abstract

The increasing industrial demand for handling complex functionalities has influenced the design of hardware architectures for time critical embedded systems, during the past decade. Multi-core systems facilitate the inclusion of many complex functionalities, while, at the same time, inducing cache related overheads, as well as adding partitioning complexity to the overall system schedulability. One of the efficient paradigms for controlling and reducing the cache related costs in real-time systems is Limited Preemptive Scheduling (LPS), with its particular instance Fixed Preemption Points Scheduling (LP- FPPS), that has been shown to be supported by and investigated in the automotive domain. With respect to the partitioning constraints, Partitioned Scheduling has been widely used to pre-runtime allocate tasks to specific cores, resulting in a predictable cache-related preemption delays estimations. In this paper we propose to integrate LP- FPPS and Partitioned Scheduling on fixed-priority multicore real-time systems in order to increase the overall system schedulability.

Bibtex

@article{Markovic5199,
author = {Filip Markovic and Jan Carlson and Radu Dobrin},
title = {A Comparison of Partitioning Strategies for Fixed Points Based Limited Preemptive Scheduling},
editor = {Ren C. Luo},
volume = {15},
number = {2},
pages = {1070--1081},
month = {February},
year = {2019},
journal = {IEEE Transactions on Industrial Informatics },
publisher = {IEEE},
url = {http://www.es.mdu.se/publications/5199-}
}