Sciweavers

PET
2012
Springer
11 years 7 months ago
Differentially Private Continual Monitoring of Heavy Hitters from Distributed Streams
We consider applications scenarios where an untrusted aggregator wishes to continually monitor the heavy-hitters across a set of distributed streams. Since each stream can contain ...
T.-H. Hubert Chan, Mingfei Li, Elaine Shi, Wenchan...
PAM
2011
Springer
12 years 7 months ago
Evolution of Cache Replacement Policies to Track Heavy-Hitter Flows
Several important network applications cannot easily scale to higher data rates without requiring focusing just on the large traffic flows. Recent works have discussed algorithmic...
Martin Zádník, Marco Canini
CCR
2005
64views more  CCR 2005»
13 years 4 months ago
A methodology for studying persistency aspects of internet flows
We focus in this paper on Internet flows, consider their contributions to the overall traffic per time unit or bin, and perform a multi-scale and multi-protocol analysis to explor...
Jörg Wallerich, Holger Dreger, Anja Feldmann,...
CCR
2008
94views more  CCR 2008»
13 years 5 months ago
Probabilistic lossy counting: an efficient algorithm for finding heavy hitters
Knowledge of the largest traffic flows in a network is important for many network management applications. The problem of finding these flows is known as the heavy-hitter problem ...
Xenofontas A. Dimitropoulos, Paul Hurley, Andreas ...
PODS
2005
ACM
96views Database» more  PODS 2005»
13 years 10 months ago
Space complexity of hierarchical heavy hitters in multi-dimensional data streams
Heavy hitters, which are items occurring with frequency above a given threshold, are an important aggregation and summary tool when processing data streams or data warehouses. Hie...
John Hershberger, Nisheeth Shrivastava, Subhash Su...
PODS
2009
ACM
110views Database» more  PODS 2009»
14 years 5 months ago
Optimal tracking of distributed heavy hitters and quantiles
We consider the the problem of tracking heavy hitters and quantiles in the distributed streaming model. The heavy hitters and quantiles are two important statistics for characteri...
Ke Yi, Qin Zhang