Publikation: Monitoring system architecture for the ...
Stammdaten
Titel: | Monitoring system architecture for the multi-scale blockchain-based logistic network |
Untertitel: | |
Kurzfassung: | Contemporary control processes and methods in multi-scale, cyber-physical systems require precise data collection at various levels, timely transmission, and analysis involving large number of computing and storage elements connected within high-performance permissioned consensus networks. For example, in transport networks, resources tend to form multi-scale dynamical systems with diverse operational requirements, including data exchange policies and consensus protocols. Apart from designing complete topology, chaincodes and consensus logic, effective monitoring of the applications and infrastructure of such complex systems remains a research challenge. In this paper, we discuss important aspects of the data-intensive applications monitoring investigated in the frames of the ADAPT project. We present highlights on the toolsets, architectures and details on possible optimization approaches for monitoring data collection. We introduce a dynamic multi-scale monitoring system architecture with preliminary workflow model. It allows obtaining effective low-latency publish-subscribe matching of the dynamically varying monitoring tasks and executing machines. |
Schlagworte: | Logistics, transportation, decentralization, blockchain, monitoring systems, optimization, data-intensive systems, hybrid systems |
Publikationstyp: | Beitrag in Proceedings (Autorenschaft) |
Erscheinungsdatum: | 07.02.2022 (Online) |
Erschienen in: |
UCC '21: 2021 IEEE/ACM 14th International Conference on Utility and Cloud Computing
UCC '21: 2021 IEEE/ACM 14th International Conference on Utility and Cloud Computing
(
Association for Computing Machinery (ACM);
L. Bittencourt, A. Sill
)
zur Publikation |
Titel der Serie: | - |
Bandnummer: | - |
Erstveröffentlichung: | Ja |
Version: | - |
Seite: | S. 2 - 6 |
Versionen
Keine Version vorhanden |
Erscheinungsdatum: | 06.12.2021 |
ISBN: |
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ISSN: | - |
Homepage: | https://dl.acm.org/doi/abs/10.1145/3492323.3495633 |
Erscheinungsdatum: | 07.02.2022 |
ISBN (e-book): | - |
eISSN: | - |
DOI: | http://dx.doi.org/10.1145/3492323.3495633 |
Homepage: | https://dl.acm.org/doi/abs/10.1145/3492323.3495633 |
Open Access |
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Wibi-relevante Version |
AutorInnen
Vladislav Kashanskii (intern) |
Radu Aurel Prodan (intern) |
Aso Validi (extern) |
Cristina Olaverri-Monreal (extern) |
Gleb Radchenko (extern) |
Zuordnung
Organisation | Adresse | ||||
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Fakultät für Technische Wissenschaften
Institut für Informationstechnologie
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AT - 9020 Klagenfurt am Wörthersee |
Kategorisierung
Sachgebiete | |
Forschungscluster | Kein Forschungscluster ausgewählt |
Peer Reviewed |
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Publikationsfokus |
Klassifikationsraster der zugeordneten Organisationseinheiten:
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Arbeitsgruppen |
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Kooperationen
Organisation | Adresse | ||
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Universität Linz
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AT - 4010 Linz, Donau |
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Silicon Austria Labs GmbH
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AT - 8010 Graz |
Forschungsaktivitäten
(Achtung: Externe Aktivitäten werden im Suchergebnis nicht mitangezeigt)
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Publikationen: | Keine verknüpften Publikationen vorhanden |
Veranstaltungen: | Keine verknüpften Veranstaltung vorhanden |
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