(English) Cascading Data Corruption: About Dependencies in Cyber-Physical Systems

Leider ist der Eintrag nur auf Amerikanisches Englisch verfügbar. Der Inhalt wird unten in einer verfügbaren Sprache angezeigt. Klicken Sie auf den Link, um die aktuelle Sprache zu ändern.

Stefan Gries, Marc Hesenius, Volker Gruhn: Cascading Data Corruption: About Dependencies in Cyber-Physical Systems. In: Proceedings of the 11th ACM International Conference on Distributed and Event-based Systems, S. 345–346, ACM, Barcelona, Spain, 2017, ISBN: 978-1-4503-5065-5.

Abstract

CPS are interconnected systems that observe and manipulate real objects and processes. They allow dynamic extension and show emergent behavior which leads to dynamic decision-making processes that can change at runtime. They cannot always be easily understood because of the high number of components involved. If an error occurs in such a process, it is difficult to comprehend which component involved in the decision process is responsible for that error. The decision therefore has a high degree of dependency on the nodes involved in the process. Therefore, errors are not easily traceable to their original source. In this paper, we present the idea of dependency trees, which should help to identify error sources in the event of a fault.

BibTeX (Download)

@inproceedings{Gries:2017:CDC:3093742.3095092,
title = {Cascading Data Corruption: About Dependencies in Cyber-Physical Systems},
author = { Stefan Gries and Marc Hesenius and Volker Gruhn},
url = {http://doi.acm.org/10.1145/3093742.3095092},
doi = {10.1145/3093742.3095092},
isbn = {978-1-4503-5065-5},
year  = {2017},
date = {2017-06-01},
booktitle = {Proceedings of the 11th ACM International Conference on Distributed and Event-based Systems},
pages = {345--346},
publisher = {ACM},
address = {Barcelona, Spain},
series = {DEBS '17},
abstract = {CPS are interconnected systems that observe and manipulate real objects and processes. They allow dynamic extension and show emergent behavior which leads to dynamic decision-making processes that can change at runtime. They cannot always be easily understood because of the high number of components involved. If an error occurs in such a process, it is difficult to comprehend which component involved in the decision process is responsible for that error. The decision therefore has a high degree of dependency on the nodes involved in the process. Therefore, errors are not easily traceable to their original source. In this paper, we present the idea of dependency trees, which should help to identify error sources in the event of a fault.},
keywords = {cascading data corruption, Cascading Data Curroption, cascading failures, CPS, Cyber-Phyiscal System, Cyber-Physical Systems, flow monitoring, information dependencies},
pubstate = {published},
tppubtype = {inproceedings}
}