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- W2139299835 abstract "Open-source, BigTable-like distributed databases provide a scalable storage solution for data-intensive applications. The simple key-value storage schema provides fast record ingest and retrieval, nearly independent of the quantity of data stored. However, real applications must support non-trivial queries that require careful key design and value indexing. We study an Apache Accumulo-based big data system designed for a network situational awareness application. The application's storage schema and data retrieval requirements are analyzed. We then characterize the corresponding Accumulo performance bottlenecks. Queries are shown to be communication-bound and server-bound in different situations. Inefficiencies in the open-source communication stack and filesystem limit network and I/O performance, respectively. Additionally, in some situations, parallel clients can contend for server-side resources. Maximizing data retrieval rates for practical queries requires effective key design, indexing, and client parallelization." @default.
- W2139299835 created "2016-06-24" @default.
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- W2139299835 date "2013-09-01" @default.
- W2139299835 modified "2023-09-26" @default.
- W2139299835 title "Understanding query performance in Accumulo" @default.
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- W2139299835 doi "https://doi.org/10.1109/hpec.2013.6670330" @default.
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