Traffic Measurement for Big Network Data
This book presents several compact and fast methods for online traffic measurement of big network data. It describes challenges of online traffic measurement, discusses the state of the field, and provides an overview of the potential solutions to major problems.The authors introduce the problem of per-flow size measurement for big network data and present a fast and scalable counter architecture, called Counter Tree, which leverages a two-dimensional counter sharing scheme to achieve far better memory efficiency and significantly extend estimation range. Unlike traditional approaches to cardinality estimation problems that allocate a separat…
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Produktdetails
Weitere Autoren: Chen, Min / Xiao, Qingjun
- ISBN: 978-3-319-47339-0
- EAN: 9783319473390
- Produktnummer: 20638107
- Verlag: Springer-Verlag GmbH
- Sprache: Englisch
- Erscheinungsjahr: 2016
- Seitenangabe: 104 S.
- Masse: H24.4 cm x B15.9 cm x D1.5 cm 334 g
- Abbildungen: 30 schwarz-weiße Abbildungen, Bibliographie
- Gewicht: 334
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