Browsing by Author "Grasnickel, Andreas"

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    On structuring primitives and communication primitives for design environments
    (1992) Ritter, Norbert; Mitschang, Bernhard; Gesmann, Michael; Grasnickel, Andreas; Härder, Theo; Huff, Clarence; Hübel, Christoph; Käfer, Wolfgang; Schöning, Harald; Sutter, Bernd
    The evolution of CAD systems can be described in several stages which reflect an increasing effort for system Integration. It starts from a file-and-translator approach evolving to a data-integrated tool environment, and finally reaching the stage of a data-integrated design environment for CAD (sometimes also called CAD Framework). In the following we will detail some aspects of these stages.
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    PRIMA - a database system supporting dynamically defined composite objects
    (1992) Gesmann, Michael; Grasnickel, Andreas; Härder, Theo; Hübel, Christoph; Käfer, Wolfgang; Mitschang, Bernhard; Schöning, Harald
    PRIMA is a non-standard database system developed at the University Kaiserslautern. Its major purpose is the support of engineering design applications, such as VLSI design and software engineering. The applications require tailored application-dependent interfaces which, however, all share basic notions like that of a composite object. Hence, the approach of PRIMA is to offer an application-independent complex-object interface (the moleculeatom data model, shortly called MAD model) and to provide means to easily augment this interface by application-dependent functionality. In the following, we will concentrate on the MAD model and its implementation.
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    Using PRIMA-DBMS as a testbed for parallel complex-object processing
    (1992) Hübel, Christoph; Mitschang, Bernhard; Gesmann, Michael; Grasnickel, Andreas; Käfer, Wolfgang; Schöning, Harald; Härder, Theo
    The PRIMA-DBMS approach is explained by introducing PRIMA's architecture and query processing framework. The PRIMA-DBMS constitutes a testbed that is flexible enough to support evaluation and validation of quite a variation of different strategies for complex-object processing taking into account different parallelization levels and different hardware environments. Thus, PRIMA marks an important step towards our main research goal concerning measures for efficient complex-object processing: the measures that are in competition with each other are query optimization, query evaluation strategies, and massive storage, that all benefit from parallelism. The programming environment that supports the parallel DBMS processing is introduced with special emphasis on its ability for parametrization and configuration. A case study of the PRIMA testbed illustrates our first investigations and demonstrates a methodology for evaluation and tuning of PRIMA configurations.