Striver: Stream Runtime Verification for Real-Time Event-Streams

We study the problem of monitoring rich properties of real-time event streams, and propose a solution based on Stream Runtime Verification (SRV), where observations are described as output streams of data computed from input streams of data. SRV allows a clean separation between the temporal depende...

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Bibliographic Details
Published inRuntime Verification Vol. 11237; pp. 282 - 298
Main Authors Gorostiaga, Felipe, Sánchez, César
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 2018
Springer International Publishing
SeriesLecture Notes in Computer Science
Online AccessGet full text
ISBN9783030037680
3030037681
ISSN0302-9743
1611-3349
DOI10.1007/978-3-030-03769-7_16

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Summary:We study the problem of monitoring rich properties of real-time event streams, and propose a solution based on Stream Runtime Verification (SRV), where observations are described as output streams of data computed from input streams of data. SRV allows a clean separation between the temporal dependencies among incoming events, and the concrete operations that are performed during the monitoring. SRV specification languages typically assume that all streams share a global synchronous clock and input events arrive in a synchronous manner. In this paper we generalize the time assumption to cover real-time event streams, but keep the essential explicit time dependencies present in synchronous SRV languages. We introduce Striver, which shares with SRV the simplicity, and the separation between the timing reasoning and the data domain. Striver is a general language that allows to express other real-time monitoring languages. We show in this paper translations from other formalisms for (piece-wise constant) signals and timed event streams. Finally, we report an empirical evaluation of an implementation of Striver.
Bibliography:This research has been partially supported by: the EU H2020 project Elastest (num. 731535), by the Spanish MINECO Project “RISCO (TIN2015-71819-P)” and by the EU ICT COST Action IC1402 ARVI (Runtime Verification beyond Monitoring).
ISBN:9783030037680
3030037681
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-030-03769-7_16