Evaluating Connection Resilience for Self-Organized Cyber-Physical Systems
H. Heck, O. Kieselmann, and A. Wacker. 2016 IEEE 10th International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2016), IEEE Computer Society, (September 2016)
Abstract
Self-organizing cyber-physical systems are expected to become increasingly important in the context of Industry 4.0 automation as well as in everyday scenarios.
Resilient communication is crucial for such systems.
In general, this can be achieved with redundant communication paths.
Mathematically, the amount of redundant paths is expressed with the network connectivity.
A high network connectivity is required for collaboration and system-wide self-adaptation even when nodes fail or get compromised by an attacker.
In this paper, we analyze the network connectivity of a communication network for large distributed cyber-physical systems.
For this, we simulate the communication structure of a CPS with different network parameters to determine its resilience.
With our results, we also deduce the required network connectivity for a given number of failing or compromised nodes.
%0 Conference Paper
%1 heck2016evaluating
%A Heck, Henner
%A Kieselmann, Olga
%A Wacker, Arno
%B 2016 IEEE 10th International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2016)
%D 2016
%I IEEE Computer Society
%K Cyber-Physical Kademlia Resilience heck iteg itegpub kieselmann myown peer-to-peer
%T Evaluating Connection Resilience for Self-Organized Cyber-Physical Systems
%U http://dblp.uni-trier.de/db/journals/corr/corr1605.html#HeckKW16
%X Self-organizing cyber-physical systems are expected to become increasingly important in the context of Industry 4.0 automation as well as in everyday scenarios.
Resilient communication is crucial for such systems.
In general, this can be achieved with redundant communication paths.
Mathematically, the amount of redundant paths is expressed with the network connectivity.
A high network connectivity is required for collaboration and system-wide self-adaptation even when nodes fail or get compromised by an attacker.
In this paper, we analyze the network connectivity of a communication network for large distributed cyber-physical systems.
For this, we simulate the communication structure of a CPS with different network parameters to determine its resilience.
With our results, we also deduce the required network connectivity for a given number of failing or compromised nodes.
@inproceedings{heck2016evaluating,
abstract = {Self-organizing cyber-physical systems are expected to become increasingly important in the context of Industry 4.0 automation as well as in everyday scenarios.
Resilient communication is crucial for such systems.
In general, this can be achieved with redundant communication paths.
Mathematically, the amount of redundant paths is expressed with the network connectivity.
A high network connectivity is required for collaboration and system-wide self-adaptation even when nodes fail or get compromised by an attacker.
In this paper, we analyze the network connectivity of a communication network for large distributed cyber-physical systems.
For this, we simulate the communication structure of a CPS with different network parameters to determine its resilience.
With our results, we also deduce the required network connectivity for a given number of failing or compromised nodes.},
added-at = {2016-06-30T16:27:05.000+0200},
author = {Heck, Henner and Kieselmann, Olga and Wacker, Arno},
biburl = {https://www.bibsonomy.org/bibtex/2e889c7dd856ab3c30ecd93f02416367e/wacker},
booktitle = {2016 IEEE 10th International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2016)},
interhash = {b62a2752f5a593343f89fc34d7f9e8ba},
intrahash = {e889c7dd856ab3c30ecd93f02416367e},
keywords = {Cyber-Physical Kademlia Resilience heck iteg itegpub kieselmann myown peer-to-peer},
month = {September},
publisher = {IEEE Computer Society},
timestamp = {2016-11-23T17:28:44.000+0100},
title = {Evaluating Connection Resilience for Self-Organized Cyber-Physical Systems},
url = {http://dblp.uni-trier.de/db/journals/corr/corr1605.html#HeckKW16},
year = 2016
}