Integrating Provenance-Awareness into the Space Debris Processing System BACARDI

Stoffers, Martin; Meinel, Michael; Hofmann, Benjamin; Schreiber, Andreas

doi:10.1109/aero53065.2022.9843783

Cited by 5 publications

(5 citation statements)

References 11 publications

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“…Moreau identified the building blocks for standardized provenance recording and proposes the Open Provenance Model (OPM) [36], which was later superseded by the W3C PROV standard [37,51]. Provenance data is either extracted from software systems after [43] or during their operation [24,27,47]. There is active work towards recording provenance information without instrumenting the system or process [3,5,18,39].…”

Section: Related Workmentioning

confidence: 99%

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Towards Specificationless Monitoring of Provenance-Emitting Systems

Stoffers¹,

Weinert²

2022

Preprint

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Monitoring often requires insight into the monitored system as well as concrete specifications of expected behavior. More and more systems, however, provide information about their inner procedures by emitting provenance information in a W3C-standardized graph format. In this work, we present an approach to monitor such provenance data for anomalous behavior by performing spectral graph analysis on slices of the constructed provenance graph and by comparing the characteristics of each slice with those of a sliding window over recently seen slices. We argue that this approach not only simplifies the monitoring of heterogeneous distributed systems, but also enables applying a host of well-studied techniques to monitor such systems.

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Section: Related Workmentioning

confidence: 99%

“…2: A lightweight architecture for capturing provenance information from a complex distributed system. (Taken from [47] and simplified. )…”

Section: Provenance-emitting Systemmentioning

confidence: 99%

Towards Specificationless Monitoring of Provenance-Emitting Systems

Stoffers¹,

Weinert²

2022

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…Provenance data is either extracted from software systems after [43] or during their operation [24,27,47]. There is active work towards recording provenance information without instrumenting the system or process [3,5,18,39].…”

Section: Related Workmentioning

confidence: 99%

“…2: A lightweight architecture for capturing provenance information from a complex distributed system. (Taken from [47] and simplied. )…”

Section: Provenance-emitting Systemmentioning

confidence: 99%

See 1 more Smart Citation

Towards Specificationless Monitoring of Provenance-Emitting Systems

Stoffers

Weinert

2022

Runtime Verification

Self Cite

View full text Add to dashboard Cite

Monitoring often requires insight into the monitored system as well as concrete specications of expected behavior. More and more systems, however, provide information about their inner procedures by emitting provenance information in a W3C-standardized graph format. In this work, we present an approach to monitor such provenance data for anomalous behavior by performing spectral graph analysis on slices of the constructed provenance graph and by comparing the characteristics of each slice with those of a sliding window over recently seen slices. We argue that this approach not only simplies the monitoring of heterogeneous distributed systems, but also enables applying a host of well-studied techniques to monitor such systems.

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