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A Communication-Aware Solution Framework for Mapping AUTOSAR Runnables on Multi-core Systems
Publication Type:
Conference/Workshop Paper
Venue:
The 19th IEEE International Conference on Emerging Technologies and Factory Automation
Abstract
An AUTOSAR-based software application contains
a set of software components, each of which encapsulates a set
of runnable entities. In fact, the mission of the system is fulfilled
as result of the collaboration between the runnables. Several
trends have recently emerged to utilize multi-core technology
to run AUTOSAR-based software. Not only the overhead of
communication between the runnables is one of the major
performance bottlenecks in multi-core processors but it is also
the main source of unpredictability in the system. Appropriate
mapping of the runnables onto a set of tasks (called mapping
process) along with proper allocation of the tasks to processing
cores (called task allocation process) can significantly reduce
the communication overhead. In this paper, three solutions are
suggested, each of which comprises both the mapping and the
allocation processes. The goal is to maximize key performance
aspects by reducing the overall inter-runnable communication
time besides satisfying given timing and precedence constraints.
A large number of randomly generated experiments are carried
out to demonstrate the efficiency of the proposed solutions.
Bibtex
@inproceedings{Faragardi3722,
author = {Hamid Reza Faragardi and Kristian Sandstr{\"o}m and Bj{\"o}rn Lisper and Thomas Nolte},
title = {A Communication-Aware Solution Framework for Mapping AUTOSAR Runnables on Multi-core Systems},
month = {September},
year = {2014},
booktitle = {The 19th IEEE International Conference on Emerging Technologies and Factory Automation},
url = {http://www.es.mdu.se/publications/3722-}
}