Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Bounding end-to-end delay for real-time environmental monitoring in avionic systems

Authors
Jin, DaehaRyu, JunheePark, JuyoungLee, JaemyounShin, HeonshikKang, Kyungtae
Issue Date
Mar-2013
Publisher
IEEE
Keywords
Environmental Monitoring; Predictive analysis; Avionics; Computer peripheral equipment; Environmental engineering; End to end delay; Essential considerations; Avionics systems; Real-time switching; Environmental monitoring system; Intermediate node; Monit
Citation
Proceedings - 27th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2013, pp 132 - 137
Pages
6
Indexed
OTHER
Journal Title
Proceedings - 27th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2013
Start Page
132
End Page
137
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/30532
DOI
10.1109/WAINA.2013.96
Abstract
Timing guarantees and predictive early analysis are essential considerations for the design of reliable and verified real-time avionics systems. In this paper, we consider an environmental monitoring avionic system, which allows physical circumstances to be visually monitored continuously in real-time. We analyze timing aspects on the partitions of front-end and back-end nodes, and intermediate node which interconnects those systems. On the end nodes, we use ASIIST to evaluate the worst-case delay for PCI bus analysis. And then, we propose a novel real-time switching algorithm which ensures the delay bound on the intermediate node. Finally, we derive the end-to-end delay on the whole system accurately and show how it can be bounded. A predictive analysis on the worst-case end-to-end delay of a system, before deployment, can result in more reliable and well-verified environmental monitoring systems. We also expect this to reduce the cost of designing and implementing environmental monitoring avionic systems. © 2013 IEEE.
Files in This Item
Go to Link
Appears in
Collections
COLLEGE OF COMPUTING > DEPARTMENT OF ARTIFICIAL INTELLIGENCE > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Kang, Kyung tae photo

Kang, Kyung tae
ERICA 소프트웨어융합대학 (DEPARTMENT OF ARTIFICIAL INTELLIGENCE)
Read more

Altmetrics

Total Views & Downloads

BROWSE