Control Performance Optimization for Application Integration on Automotive Architectures

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F21%3A00343747" target="_blank" >RIV/68407700:21230/21:00343747 - isvavai.cz</a>

Alternative codes found

RIV/68407700:21730/21:00343747

Result on the web

<a href="https://doi.org/10.1109/TC.2020.3003083" target="_blank" >https://doi.org/10.1109/TC.2020.3003083</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/TC.2020.3003083" target="_blank" >10.1109/TC.2020.3003083</a>

Result language

angličtina

Original language name

Control Performance Optimization for Application Integration on Automotive Architectures

Original language description

Automotive software implements different function- alities as multiple control applications sharing common platform resources. Although such applications are often developed inde- pendently, the control performance of the resulting system de- pends on how these applications are integrated. A key integration challenge is to efficiently schedule these applications on shared resources with minimal control performance degradation. We formulate this problem as that of scheduling multiple distributed periodic control tasks that communicate via messages with non-zero jitter. The optimization criterion used is a piecewise linear representation of the control performance degradation as a function of the end-to-end latency of the application. The three main contributions of this article are: 1) a constraint programming (CP) formulation to solve this integration problem optimally on time-triggered architectures, 2) an efficient heuristic called Flexi, and 3) an experimental evaluation of the scalability and efficiency of the proposed approaches. In contrast to the CP formulation, which for many real-life problems might have unacceptably long running times, Flexi returns nearly optimal results (0.5% loss in control performance compared to optimal) for most problems with more acceptable running times

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/EF15_003%2F0000466" target="_blank" >EF15_003/0000466: Artificial Intelligence and Reasoning</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2021

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

IEEE Transactions on Computers

ISSN

0018-9340

e-ISSN

1557-9956

Volume of the periodical

70

Issue of the periodical within the volume

7

Country of publishing house

US - UNITED STATES

Number of pages

15

Pages from-to

1059-1073

UT code for WoS article

000659547700008

EID of the result in the Scopus database

2-s2.0-85086745483