Auflistung nach Autor:in "Aulbach, Stefan"
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- KonferenzbeitragAnforderungen an Datenbanksysteme für Multi-Tenancy- und Software-as-a-Service-Applikationen(Datenbanksysteme in Business, Technologie und Web (BTW) – 13. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme" (DBIS), 2009) Aulbach, Stefan; Jacobs, Dean; Primsch, Jürgen; Kemper, AlfonsFür Multi-Tenancy-Applikationen und Software as a Service (SaaS) stellen sich konventionelle Datenbanksysteme oftmals als ungeeignet heraus. In einem solchen Umfeld müssen Anforderungen, wie Erweiterbarkeit und Verfügbarkeit, trotz geringer Kosten für den
- KonferenzbeitragData Staging for OLAP- and OLTP-Applications on RFID Data(Datenbanksysteme in Business, Technologie und Web (BTW 2007) – 12. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme" (DBIS), 2007) Krompaß, Stefan; Aulbach, Stefan; Kemper, AlfonsThe emerging trend towards seamless monitoring of all business processes via comprehensive sensor networks – in particular RFID readers – creates new data man- agement challenges. In addition to handling the huge volume of data generated by these sensor networks the information systems must support the efficient querying and analysis of both recent data and historic sensor readings. In this paper, we devise and evaluate a data staging architecture that consists of a distributed caching layer and a data warehouse. The caches maintain the most recent RFID events (i.e., sensor read- ings) to facilitate very efficient OLTP processing. Aged RFID events are removed from the caches and propagated into the data warehouse where related events are ag- gregated to reduce storage space consumption. The data warehouse can be utilized for business intelligence applications that, e.g., analyze the supply chain quality.
- KonferenzbeitragRuminations on Multi-Tenant Databases(Datenbanksysteme in Business, Technologie und Web (BTW 2007) – 12. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme" (DBIS), 2007) Jacobs, Dean; Aulbach, StefanThis is a position paper on multi-tenant databases. As motivation, it first describes the emerging marketplace of hosted enterprise services and the importance of using multi-tenancy to handle high traffic volumes at low cost. It then outlines the main requirements on multi-tenant databases: scale up by consolidating multiple tenants onto the same server and scale out by providing an administrative framework that manages a farm of such servers. Finally it describes three approaches to implementing multi-tenant databases and compares them based on some simple experiments. The main conclusion is that existing database vendors need to enhance their products to better support multi-tenancy.