MultiMap: Preserving disk locality for multidimensional datasets

MultiMap is an algorithm for mapping multidimensional datasets so as to preserve the data's spatial locality on disks. Without revealing disk-specific details to applications, MultiMap exploits modern disk characteristics to provide full streaming bandwidth for one (primary) dimension and maximally efficient non-sequential access (i.e., minimal seek and no rotational latency) for the other dimensions. This is in contrast to existing approaches, which either severely penalize non-primary dimensions or fail to provide full streaming bandwidth for any dimension. Experimental evaluation of a prototype implementation demonstrates MultiMap's superior performance for range and beam queries. On average, MultiMap reduces total I/O time by over 50% when compared to traditional linearized layouts and by over 30% when compared to space-filling curve approaches such as Z-ordering and Hilbert curves. For scans of the primary dimension, MultiMap and traditional linearized layouts provide a...

• Type: Conference
• Year: 2007
• Where: ICDE
• Authors: Minglong Shao, Steven W. Schlosser, Stratos Papadomanolakis, Jiri Schindler, Anastassia Ailamaki, Gregory R. Ganger
• Keywords: Database, ICDE 2007, Implementation Demonstrates Multimap, Space-filling Curve Approaches, Traditional Linearized Layouts