Galileo: A Framework for Distributed Storage of High-Throughput Data Streams
作者： M. Malensek , S. L. Pallickara , S. Pallickara
DOI: 10.1109/UCC.2011.13
关键词:
摘要: We describe the design of a high-throughput storage system, Galileo, for data streams generated in observational settings. The shared-nothing architecture Galileo supports incremental assimilation nodes, while accounting heterogeneity their capabilities, to cope with volumes. To achieve efficient and retrievals data, accounts geospatial chronological characteristics such time-series streams. Our benchmarks demonstrate that specific portions large datasets supporting different types queries.
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