@inproceedings{24981f0f395b45b0b522505022b4da42,
title = "Optimal sampling strategies for multiscale models with application to network traffic estimation",
abstract = "The paper considers the problem of determining which set of 2p leaf nodes on a binary multiscale tree model of depth N (N < p) gives the best linear minimum mean-squared estimator of the tree root. We find that the best-case and worst-case sampling choices depend on the correlation structure of the tree. This problem arises in Internet traffic estimation, where the goal is to estimate the average traffic rate on a network path based on a limited number of traffic samples.",
keywords = "Application software, Computer networks, Force measurement, IP networks, Privacy, Probes, Sampling methods, Signal processing, Telecommunication traffic, Traffic control",
author = "Ribeiro, {V. J.} and Riedi, {R. H.} and Baraniuk, {R. G.}",
note = "Publisher Copyright: {\textcopyright} 2003 IEEE.; IEEE Workshop on Statistical Signal Processing, SSP 2003 ; Conference date: 28-09-2003 Through 01-10-2003",
year = "2003",
doi = "10.1109/SSP.2003.1289360",
language = "English (US)",
series = "IEEE Workshop on Statistical Signal Processing Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "138--141",
booktitle = "Proceedings of the 2003 IEEE Workshop on Statistical Signal Processing, SSP 2003",
address = "United States",
}