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Auflistung nach Autor:in "Seeger, Bernhard"

1 - 10 von 26
  • Konferenzbeitrag
    Auf dem Weg zur allwissenden Fabrik – Vertikale Integration auf Basis kontinuierlicher Datenverarbeitung
    (Informatik 2007 – Informatik trifft Logistik – Band 2, 2007) Heinz, Christoph; Krämer, Jürgen; Riemenschneider, Tobias; Seeger, Bernhard
    In modernen Produktionsunternehmen gilt mehr denn je die Devise Zeit ist Geld. Daher ist eine zeitnahe Reaktion auf Vorfälle und Entwicklungen innerhalb der eigenen Produktion als auch auf marktwirtschaftliche Ereignisse unabdingbar. Im Rahmen dieses Berichts werden die wichtigsten an der Produktion beteiligten Softwaresysteme skizziert, anhand betriebswirtschaftlicher Zielsetzungen charakterisiert und die typischen Schwachpunkte aufgezeigt. Anschließend wird diskutiert, wie mit den Mitteln der vertikalen Integration und aktuellen Ergebnissen des Complex Event Processing diese Zielsetzungen effizienter umgesetzt werden können. Weiterhin wird gezeigt, wie diese Umsetzung mit unserer Java-Bibliothek PIPES und der Production-to-Business-Software i-Plant realisiert werden kann und welche Synergieeffekte daraus entstehen können.
  • Zeitschriftenartikel
    Designing an Event Store for a Modern Three-layer Storage Hierarchy
    (Datenbank-Spektrum: Vol. 20, No. 3, 2020) Glombiewski, Nikolaus; Götze, Philipp; Körber, Michael; Morgen, Andreas; Seeger, Bernhard
    Event stores face the difficult challenge of continuously ingesting massive temporal data streams while satisfying demanding query and recovery requirements. Many of today’s systems deal with multiple hardware-based trade-offs. For instance, long-term storage solutions balance keeping data in cheap secondary media (SSDs, HDDs) and performance-oriented main-memory caches. As an alternative, in-memory systems focus on performance, while sacrificing monetary costs, and, to some degree, recovery guarantees. The advent of persistent memory (PMem) led to a multitude of novel research proposals aiming to alleviate those trade-offs in various fields. So far, however, there is no proposal for a PMem-powered specialized event store. Based on ChronicleDB, we will present several complementary approaches for a three-layer architecture featuring main memory, PMem, and secondary storage. We enhance some of ChronicleDB’s components with PMem for better insertion and query performance as well as better recovery guarantees. At the same time, the three-layer architecture aims to keep the overall dollar cost of a system low. The limitations and opportunities of a PMem-enhanced event store serve as important groundwork for comprehensive system design exploiting a modern storage hierarchy.
  • Zeitschriftenartikel
    Die Arbeitsgruppe Datenbanksysteme an der Philipps-Universität Marburg
    (Datenbank-Spektrum: Vol. 15, No. 3, 2015) Seeger, Bernhard
    In diesem Beitrag wird die Arbeitsgruppe Datenbanksysteme an der Universität Marburg vorgestellt. Es wird ein kurzer historischer Rückblick gegeben und auf aktuelle Forschungsgebiete eingegangen. Zudem wird das Engagement der Arbeitsgruppe in der Lehre dargestellt und die Kooperation mit anderen Wissenschaftlern kurz skizziert.
  • Konferenzbeitrag
    DNAContainer: An object-based storage architecture on DNA
    (BTW 2023, 2023) El-Shaikh, Alex; Seeger, Bernhard
    The digital data volumes produced worldwide per year are ever-increasing. Estimates show that by 2025, we will have reached 175 zettabytes of globally created digital data. Despite today's advancements in storage devices, current database management systems cannot cope with these amounts of data. More than recent improvements in storage technologies are needed to meet the ever-accelerating growth of generated data. This problem is further exaggerated when considering that current storage technologies such as HDD and tape require replacement every few years. To combat this deficiency, deoxyribonucleic acid (DNA) offers a novel durable (millennia scale), extremely dense, and energy-efficient storage medium. However, current DNA systems lack support for random access and more expressive query support beyond key-value lookups. In this paper, we present DNAContainer, a novel storage architecture on DNA that spans an ample virtual address space on objects, enabling random access to DNA at a large scale while adhering to required biochemical constraints. The interface of DNAContainer also facilitates the implementation of common external data structures such as arrays, lists, and trees that store data in blocks of fixed size.
  • Konferenzbeitrag
    DSEP - call for papers
    (Datenbanksysteme für Business, Technologie und Web (BTW) 2013 - Workshopband, 2013) Fischer, Peter M.; Grawunder, Marco; Nicklas, Daniela; Seeger, Bernhard
  • Zeitschriftenartikel
    Editorial
    (Datenbank-Spektrum: Vol. 12, No. 1, 2012) Fischer, Peter M.; Nicklas, Daniela; Seeger, Bernhard
  • Zeitschriftenartikel
    Editorial
    (Datenbank-Spektrum: Vol. 16, No. 3, 2016) Seeger, Bernhard; König-Ries, Birgitta; Härder, Theo
  • Konferenzbeitrag
    An Efficient Method for Exploratory Data Visualization of Big Spatial Data on Commodity Hardware
    (INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft, 2019) Beilschmidt, Christian; Mattig, Michael; Fober, Thomas; Seeger, Bernhard
    The exploratory and interactive visualization of big spatial data is becoming increasingly important in business, science, and many other application areas. In this paper, we discuss the Circle Merging Quadtree, an efficient method for aggregating and visualizing big spatial point data on commodity hardware.
  • Konferenzbeitrag
    Event processing on your own database
    (Datenbanksysteme für Business, Technologie und Web (BTW) 2013 - Workshopband, 2013) Glombiewski, Nikolaus; Hoßbach, Bastian; Morgen, Andreas; Ritter, Franz; Seeger, Bernhard
    Event processing (EP) is widely used for reacting on events in the very moment when they occur. Events that require immediate reactions can be found in various applications, e.g. algorithmic trading, business process monitoring and sensorbased human-computer interaction. For the support of EP in an application, a specialpurpose EP system with its own API and query language has to be used. Typically, EP systems as well as their integration in applications are expensive. In this paper, we show how every standard database system can be used as an EP system via JDBC. An experimental evaluation proofs that databases behind JDBC are able to support small and medium-sized EP workloads.
  • Konferenzbeitrag
    Fourth Workshop on Big (and Small) Data in Science and Humanities (BigDS)
    (BTW 2023, 2023) Henrich, Andreas; Karam, Naouel; König-Ries, Birgitta; Seeger, Bernhard
    The Workshop on Big (and Small) Data in Science and Humanities addresses all issues related to the management and analysis of data in science from the perspective of different application areas. The goal is the scientific and interdisciplinary exchange on these topics. In the joint discussion, current and future challenges in the processing and analysis of data and possible future technologies are to be identified. This year's edition will emphasize the topics of FAIR Data and NFDI.