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4th USENIX Conference on File and Storage Technologies—Abstract

Pp. 225–238 of the Proceedings

Awarded Best Paper!

On multidimensional data and modern disks

Steven W. Schlosser, Intel Research Pittsburgh; Jiri Schindler, EMC Corporation; Stratos Papadomanolakis, Minglong Shao, Anastassia Ailamaki, Christos Faloutsos, and Gregory R. Ganger, Carnegie Mellon University


With the deeply-ingrained notion that disks can efficiently access only one dimensional data, current approaches for mapping multidimensional data to disk blocks either allow efficient accesses in only one dimension, trading off the efficiency of accesses in other dimensions, or equally penalize access to all dimensions. Yet, existing technology and functions readily available inside disk firmware can identify non-contiguous logical blocks that preserve spatial locality of multidimensional datasets. These blocks, which span on the order of a hundred adjacent tracks, can be accessed with minimal positioning cost. This paper details these technologies, analyzes their trends, and shows how they can be exposed to applications while maintaining existing abstractions. The described approach can achieve the best possible access efficiency afforded by the disk technologies: sequential access along primary dimension and access with minimal positioning cost for all other dimensions. Experimental evaluation of a prototype implementation demonstrates a reduction of overall I/O time for multidimensional data queries between 30% and 50% when compared to existing approaches.
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