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» Capturing the Variability of Internet Flows Across Time
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ICC
2009
IEEE
139views Communications» more  ICC 2009»
13 years 4 months ago
A Fluid Background Traffic Model
Background traffic has a significant impact on the behavior of network services and protocols. However, a detailed model of the background traffic can be extremely time consuming i...
Ting Li, Jason Liu
ACSAC
2007
IEEE
14 years 1 months ago
Fine-Grained Information Flow Analysis and Enforcement in a Java Virtual Machine
We have implemented an information flow framework for the Java Virtual Machine that combines static and dynamic techniques to capture not only explicit flows, but also implicit ...
Deepak Chandra, Michael Franz
ICML
2009
IEEE
14 years 7 months ago
Exploiting sparse Markov and covariance structure in multiresolution models
We consider Gaussian multiresolution (MR) models in which coarser, hidden variables serve to capture statistical dependencies among the finest scale variables. Tree-structured MR ...
Myung Jin Choi, Venkat Chandrasekaran, Alan S. Wil...
CCR
2008
84views more  CCR 2008»
13 years 6 months ago
Modeling internet topology dynamics
Despite the large number of papers on network topology modeling and inference, there still exists ambiguity about the real nature of the Internet AS and router level topology. Whi...
Hamed Haddadi, Steve Uhlig, Andrew W. Moore, Richa...
CIIT
2004
127views Communications» more  CIIT 2004»
13 years 8 months ago
OLSIM: Up-to-date traffic information on the web
The Internet is a convenient platform to distribute real time traffic information. Thus, we propose a web-based visualization of the current and future traffic load of the entire ...
Andreas Pottmeier, Roland Chrobok, Sigurdur F. Haf...