conference-paper
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Monitoring DUNE Data Streaming Efficiency
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Paper overview
Abstract
present a detailed performance evaluation ofour system using a complex query workload for analyzing real networktraffic data. The combined system uses TelegraphCQ to analyze streams oftraffic information and FastBit to correlate current behaviors withhistorical trends. We demonstrate that our system can simultaneouslyanalyze (1) live streams with high data rates and (2) a large repositoryof historical stream data.
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Publication details
- DOI
- 10.2172/1825295
- OpenAlex
- W3207001068
- Document type
- conference-paper
- Language
- EN
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