SIGN IN
SIGN UP
Probabilistic lossy counting: an efficient algorithm for finding heavy hitters
Full Text:
PDF
Buy this Article
Authors:
Xenofontas Dimitropoulos
IBM Zurich Research Laboratory
Paul Hurley
IBM Zurich Research Laboratory
Andreas Kind
IBM Zurich Research Laboratory
Published in:
· Newsletter
ACM SIGCOMM Computer Communication Review
archive
Volume 38 Issue 1, January 2008
Pages 5-5
ACM
New York, NY
, USA
table of contents
doi>
10.1145/1341431.1341433
2008 Article
Bibliometrics
· Downloads (6 Weeks): 6
· Downloads (12 Months): 34
· Downloads (cumulative): 389
· Citation Count: 7
Tools and Resources
Buy this Article
TOC Service:
Email
RSS
Save to Binder
Export Formats:
BibTeX
EndNote
ACM Ref
Share:
|
Tags:
algorithms
counting problems
data streams
heavy hitters
measurement
network monitoring
performance
Feedback
|
Switch to
single page view
(no tabs)
**Javascript is not enabled and is required for the "tabbed view" or switch to the
single page view
**
Powered by
The ACM Guide to Computing Literature
All Tags
Export Formats
Save to Binder