This is the first announcement for the NISS Affiliates Internet Tomography Technology Day, which will be held at NISS headquarters in Research Triangle Park on Friday, March 28, 2003. The program committee consists of James Landwehr (Avaya Labs), J. S. Marron (SAMSI and UNC; Chair), Robert Nowak (Rice) and Walter Willinger (AT&T Labs Research).
Internet Tomography is inference about aspects of large scale networks on the basis of peripheral information. These aspects include network structure and topology, loss rate and delay distribution, and the origin-to-destination traffic matrix. Such knowledge is important dynamic routing, optimized service provision, service level verification, and detection of anomalous or malicious behavior. The inference is challenging because of the heterogeneous and largely unregulated structure of the Internet. Furthermore, one cannot rely on the cooperation of individual servers and routers. The result is a series of "inverse problems," with strong parallels to signal processing problems such as tomographic image reconstruction, system identification and array processing. A good introduction to network tomography can be found here.
Presentations:
Particle Filtering in Network Tomography, Mark Coates, McGill University
Sampling Biases in IP Topology Measurements, Mark Crovella, Boston University
Traffic Matrix Estimation in Non-stationary Environments, Rene Cruz, University of California - San Diego
Inference of Flow Properties from Sampled Packet Streams, Nick Duffield, AT&T Labs Research
Gravity, Information and Traffic Matrices, Matt Roughan, AT&T Labs Research
Maximum Pseudo Likelihood Estimation in Network Tomography, Bin Yu, University of California - Berkeley
Event Type
- NISS Hosted