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Auflistung nach Schlagwort "Data modeling"

1 - 3 von 3
  • Konferenzbeitrag
    Complexities of Identity Provenance Metadata
    (Open Identity Summit 2021, 2021) Semančík, Radovan
    Data provenance information is an important part of personal data protection mechanisms. However, capabilities of existing identity management systems are severely limited when it comes to maintaining and processing data provenance information. This paper describes an effort to design and implement capability to process provenance information in midPoint, an open source identity management and governance system. The solution used value metadata for the purposes of storage and processing of provenance information. Resulting prototype was fully integrated into midPoint code base. The solution dealt with all layers of provenance information processing, from data acquisition to user interface. The prototype uncovered a relation between provenance information and other metadata types, as well as potential use of provenance-enriched metadata in conjunction with data protection mechanisms.
  • Zeitschriftenartikel
    Effizienter Datenmanagement-Workflow zur Analyse eines PtGtX-Systems basierend auf Open-Source-Software und Low-Cost-Hardware
    (HMD Praxis der Wirtschaftsinformatik: Vol. 61, No. 4, 2024) Clees, Tanja; Bareev-Rudy, Michael; Pfennig, Malte
    Um ein Power-to-Gas-to-X-System effizient zu optimieren, kann ein digitaler Zwilling als Simulationsmodell auf Basis experimenteller Daten für ein Laborsystem erstellt und entsprechend verändert werden. Darüber hinaus müssen für die Überwachung des realen Systems bzw. die Online-Simulation kontinuierlich Daten aus Experiment und Simulation erfasst und verarbeitet werden. Insgesamt ist ein effizienter Datenmanagement-Workflow erforderlich. In dieser Arbeit wird ein Workflow aus freier, etablierter und skalierbarer Open-Source-Software für die vorliegende Anwendung skizziert und insbesondere ein geeignetes Datenmodell entwickelt, implementiert und seine ressourcensparende Realisierung auf kostengünstiger Hardware gezeigt. Abhängig von der Datenmodellierung kann preiswerte und alte Hardware für die geforderte Aufgabe ausreichend sein. Mit Apache NiFi wird ein visueller Workflow zum Abrufen und Verarbeiten von Daten aus verschiedenen Quellen geschaffen. Die extrahierten Daten werden in Apache Cassandra aggregiert, einem Datensystem, das aufgrund seiner Leistung, Skalierbarkeit und Haltbarkeit häufig verwendet wird. Grafana wird zur visuellen Überwachung des Systems eingesetzt. Das gesamte System wird mit Hilfe von Docker-Containern aufgebaut zum Zwecke der Reproduzierbarkeit und effizienten Bereitstellung. Benchmarks und realistische Hardware- und Datenmodellierungskonfigurationen demonstrieren die Leistung der vorgeschlagenen Lösung. In order to efficiently optimize a power-to-gas-to‑X system, a digital twin can be created as a simulation model based on experimental data for a laboratory system and modified accordingly. In addition, data from experiment and simulation must be continuously recorded and processed for monitoring and online simulation. Overall, an efficient data management workflow is required. In this paper, a workflow consisting of free, established and scalable open-source software is outlined for the application at hand and, in particular, a suitable data model is developed, implemented and its resource-saving realization on low-cost hardware is demonstrated. Depending on the data modeling, inexpensive and old hardware may be sufficient for the required task. Apache NiFi is used to create a visual workflow for retrieving and processing data from various sources. The extracted data is aggregated in Apache Cassandra, a data system widely used for its performance, scalability and durability. Grafana is used for visual monitoring of the system. The entire system is built using Docker containers for the purpose of reproducibility and efficient deployment. Benchmarks and realistic hardware and data modeling configurations demonstrate the stated performance and sustainability of the proposed solution.
  • Zeitschriftenartikel
    Enabling Normalized Systems in Practice - Exploring a Modeling Approach
    (Business & Information Systems Engineering: Vol. 60, No. 1, 2018) De Bruyn, Peter; Mannaert, Herwig; Verelst, Jan; Huysmans, Philip
    Contemporary organizations are required to adapt to a changing environment in an agile way, which is often deemed very challenging. Normalized Systems (NS) theory attempts to build highly evolvable software systems by using systems theory as its theoretical underpinning. A modeling method which supports the identification of the NS elements, required for building NS sofware in practice, is currently missing. Therefore, the paper introduces an approach for creating both data models and processing models in the context of NS, as well as their integration. It is discussed how these models can be taken as the input for the actual creation of evolutionary prototypes by using an earlier developed supporting tool. The modeling approach and its suitability for feeding the tool are evaluated to discover their current strengths and weaknesses.