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A Dimension-Independent and Extensible Framework for Huge Geometric Models

A Dimension-Independent and Extensible Framework for Huge Geometric Models. David CANINO – canino@disi.unige.it. Brief Description. The dimension of huge models often exceeds the RAM size in a common PC workstation. Thus, using an External Memory (EM) technique is mandatory.

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A Dimension-Independent and Extensible Framework for Huge Geometric Models

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  1. A Dimension-Independent and Extensible Framework for Huge Geometric Models David CANINO – canino@disi.unige.it

  2. Brief Description • The dimension of huge models often exceeds the RAM size in a common PC workstation. Thus, using an External Memory (EM) technique is mandatory. • In this poster, we define a dimension-independent and extensible framework, called Objects Management in Secondary Memory (OMSM). • The OMSM framework can be easily adapted to the users needs through dynamic plugins, integrating a lot of techniques in a storing architecture. David CANINO – canino@disi.unige.it – Dept. of Computer Science, Genoa, IT

  3. OMSM Organization • Independent aspects: • Spatial indexing • Clustering policy • Clusters transfer • A layer foreach aspect with a Common Interface • Independent data model for each layer • Interface and Dynamic Loading design patterns David CANINO – canino@disi.unige.it – Dept. of Computer Science, Genoa, IT

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