@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. Copyright: Copyright 2015 Elsevier B.V., All rights reserved.; 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",

}