Projektbeschreibung
Eine Extremdatenplattform für fortgeschrittene Datenanalyse und Wissensentdeckung
Das EU-finanzierte Projekt EXA4MIND plant den Aufbau einer Plattform für extreme Daten, die Datenspeichersysteme und leistungsstarke Recheninfrastrukturen vereint. Zu diesem Zweck werden die Forschenden eine einzigartige, modulare Datenbank für extreme Daten und fortgeschrittene Analytik auf Supercomputern einrichten, die durch künstliche Intelligenz und maschinelles Lernen angetrieben werden. Ziel ist, dass diese Technologien dazu beitragen, die Datenerfassung aus heterogenen Quellen, die automatische Datenharmonisierung und die spontane Kommentierung zu ermöglichen. Im Mittelpunkt von EXA4MIND stehen vier Anwendungsfälle in den Bereichen Molekulardynamik, autonomes Fahren, intelligente Landwirtschaft/intelligenter Weinbau sowie Big Data im Gesundheits- und Sozialwesen.
Ziel
EXA4MIND will build an Extreme Data platform that brings together large scale data storage systems and powerful computing infrastructures by implementing novel automated data management and effective data staging. This will enable integration with extreme data sources and support complex and advanced data analysis pipelines for knowledge extraction. Involving three large universities and a research centre, small and medium-sized enterprises (SMEs), and the industrial sector, EXA4MIND uses interdisciplinary top-level expertise to create a modular Extreme Data Database (EDD) analytics environment. Driven by four representative Extreme Data Application Cases from the fields of molecular dynamics, autonomous driving, smart agri-/viticulture and health/social Big Data, EXA4MIND will support data ingestion and versatile preprocessing, develop an “Advanced Query and Indexing System” with convenient interfaces, and leverage high-performance storage and computing infrastructure. We will make Big Data from heterogeneous storage systems and database management systems available in a uniform way for processing on European pre-Exascale Supercomputers, cloud and AI-processing systems. Further to providing automatised staging, caching or direct access to these systems, the results and relevant data from our project will be made available to the European FAIR Data Ecosystem (including European Data Spaces, EUDAT, and the EOSC). Therefore, standardised modules and automated procedures will be implemented in our EDD. The project will constitute a leap forward towards common European Big and Extreme Data techniques in science, industry, and SMEs. Offering advanced data workflow orchestration, the EDD will be validated, proven, and sustained in collaboration with application partners, generating internationally recognised results. EXA4MIND will thus lay the technological foundations for future European data analytics and computation taking into account the whole Digital Continuum.
Wissenschaftliches Gebiet
- agricultural sciencesagriculture, forestry, and fisheriesagriculturehorticultureviticulture
- natural sciencescomputer and information sciencesdatabases
- natural sciencescomputer and information sciencesdata sciencebig data
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcomputer hardwaresupercomputers
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HORIZON-RIA - HORIZON Research and Innovation ActionsKoordinator
708 00 Ostrava Poruba
Tschechien