Abstract | ||
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Cyber Physical Systems consist of heterogeneous intelligent devices continuously connecting and disconnecting. A diagnostic model for such a system is changed frequently, as it should reflect the current system's structure. Furthermore, the devices are dispersed, so a centralized diagnostic system might not be fast and reliable enough to provide an effective troubleshooting. This may happen, for instance, in a situation where part of the system loses connectivity with the rest. In this paper, we introduce Actor Based Root Cause Analysis (ABRCA) which is a distributed, decentralized and fault tolerant reasoning algorithm designed for diagnosing critical environments. Moreover, it is able to use resources of the devices making up the system. After a detailed explanation of our idea, we evaluate performance of the proposed algorithm on a simulated IoT environment. |
Year | DOI | Venue |
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2017 | 10.1109/SEsCPS.2017...3 | SEsCPS@ICSE |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Michal Zasadzinski | 1 | 1 | 1.03 |
Victor Muntés-Mulero | 2 | 204 | 22.79 |
Marc Soe Simo | 3 | 0 | 0.34 |