Information on network host connectivity patterns are important for network monitoring and traffic engineering. In this paper, an efficient streaming algorithm is proposed to estimate cardinality...
Tracking Cardinality Distributions in Network Traffic (2009)
Abstract—Understanding the aggregate behavior of network host connectivities is important for network monitoring and traffic engineering. One characterization of such an aggregate behavior is the...
A Simple and Efficient Estimation Method for Stream Expression Cardinalities (2008)
Estimating the cardinality (i.e. number of distinct elements) of an arbitrary set expression defined over multiple distributed streams is one of the most fundamental queries of interest. Earlier...
EFFICIENT INDEPENDENT COMPONENT ANALYSIS (II) 1 (2008)
Independent component analysis (ICA) has been widely used in separating hidden sources from observed linear mixtures in many fields such as brain imaging analysis, signal processing,...
Network Tomography: Identifiability and Fourier Domain Estimation (2007)
Chen, Aiyou, Cao, Jin, Bu, Tian
The statistical problem for network tomography is to infer the distribution of $\mathbf{X}$, with mutually independent components, from a measurement model $\mathbf{Y}=A\mathbf{X}$, where $A$ is a...
Efficient Independent Component Analysis (I) (2007)
In this paper we propose a Fisher Efficient estimator in the model of independent component analysis (ICA). First, we provide a # n-consistent estimator using the empirical characteristic function,...
Network tomography based on 1-D projections (2007)
Network tomography has been regarded as one of the most promising methodologies for performance evaluation and diagnosis of the massive and decentralized Internet. This paper proposes a new...
Efficient independent component analysis (2007)
Independent component analysis (ICA) has been widely used for blind source separation in many fields such as brain imaging analysis, signal processing and telecommunication. Many statistical...
A fast and compact method for unveiling significant patterns in high speed networks (2006)
Abstract — Identification of significant patterns in network traffic, such as IPs or flows that contribute large volume (heavy hitters) or introduce large changes (heavy changers), has many...