Runtime Verification of Temporal Properties over Out-of-Order Data Streams
We present a monitoring approach for verifying systems at runtime. Our approach targets systems whose components communicate with the monitors over unreliable channels, where messages can be delayed or lost. In contrast to prior works, whose property specification languages are limited to propositional temporal logics, our approach handles an extension of the real-time logic MTL with freeze quantifiers for reasoning about data values. We present its underlying theory based on a new three-valued semantics that is well suited to soundly and completely reason online about event streams in the presence of message delay or loss. We also evaluate our approach experimentally. Our prototype implementation processes hundreds of events per second in settings where messages are received out of order.
This work was partly performed within the 5G-ENSURE project (www.5gensure.eu) and received funding from the EU Framework Programme for Research and Innovation Horizon 2020 under grant agreement no. 671562. David Basin acknowledges support from the Swiss National Science Foundation grant Big Data Monitoring (167162).
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