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Serving Queries to Multi-Resolution Datasets on Disk-Based Storage Clusters

Overview This paper is concerned with efficient querying of very large multi-resolution datasets on storage and compute clusters. This paper presents a suite of services that support storage, indexing, and data processing (data sampling and data aggregation) on datasets that consist of a collection of multi-resolution grids. The paper empirically evaluates the performance impact of different data declustering, indexing, and query processing strategies. The experimental evaluation is carried out using a data server implemented to serve multi-terabyte multi-resolution volumetric datasets to remote visualization clients and a one-terabyte multi-resolution volumetric dataset on a PC cluster with distributed disk space.

Further White Paper Details
Publisher	Ohio State University	File Format	PDF
Date Published	August 2007
Format	White Papers
Topics	Programming Languages, Hard Drives, Storage Consolidation

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