FAME-DBMS: tailor-made data management solutions for embedded systems

  • Authors:

  • Marko Rosenmüller;Norbert Siegmund;Horst Schirmeier;Julio Sincero;Sven Apel;Thomas Leich;Olaf Spinczyk;Gunter Saake

  • Affiliations:

  • University of Magdeburg;University of Magdeburg;Dortmund University of Technology;University of Erlangen-Nuremberg;University of Passau;METOP Research Institute;Dortmund University of Technology;University of Magdeburg

  • Venue:
  • SETMDM '08 Proceedings of the 2008 EDBT workshop on Software engineering for tailor-made data management
  • Year:
  • 2008

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Abstract

Data management functionality is not only needed in large-scale server systems, but also in embedded systems. Resource restrictions and heterogeneity of hardware, however, complicate the development of data management solutions for those systems. In current practice, this typically leads to the redevelopment of data management because existing solutions cannot be reused and adapted appropriately. In this paper, we present our ongoing work on FAME-DBMS, a research project that explores techniques to implement highly customizable data management solutions, and illustrate how such systems can be created with a software product line approach. With this approach a concrete instance of a DBMS is derived by composing features of the DBMS product line that are needed for a specific application scenario. This product derivation process is getting complex if a large number of features is available. Furthermore, in embedded systems also non-functional properties, e.g., memory consumption, have to be considered when creating a DBMS instance. To simplify the derivation process we present approaches for its automation.