Internet tomography
By Mark J. Coates, A. Hero, Robert D. Nowak, Bing Yu. IEEE Signal Processing Magazine, 2002
584 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications
View Paper: https://www.semanticscholar.org/paper/00aef272d16836055778b659d27b6faf96721320
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Cun-Hui Zhang
- Marina K. Thottan
- Chuanyi Ji
- Kang G. Shin
- Haining Wang
- David Wetherall
- Ratul Mahajan
- Rui M. Castro
In Computer Networks and Communications
- Cun-Hui Zhang
- Yin Zhang
- Marina K. Thottan
- Chuanyi Ji
- David Wetherall
- Kang G. Shin
- Haining Wang
- Ratul Mahajan
Citations in the corpus
- Measuring ISP topologies with Rocketfuel (2004, methodology): “We thank Lakshminarayanan Subramanian for scripts from [14], and CAIDA for skitter data.”
- Fast accurate computation of large-scale IP traffic matrices from link loads (2003, background): “Instead, these systems gather data on: Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for pro.t or commercial advantage and that copies bear this notice and the full…”
- Anomaly detection in IP networks (2003, background): “814797 referred to as network tomography [4], there is no assumption made about the network, and through the use of probe measurements, one can infer the characteristics of the network.”
- PROMISE: peer-to-peer media streaming using CollectCast (2003, background): “Discovering the interior characteristics of the network by probing only from its end points is called network tomography [11].”
- Hop-count filtering: an effective defense against spoofed DDoS traffic (2003, background): “The recent Internet mapping efforts such as Internet Map [9], Mercator [21], Rocketfuel [40], and Skitter [10] projects, may make the approach plausible.”
- Estimation of sums of random variables: Examples and information bounds (2005, methodology): “ion data. Source-destination (SD) data in networks are generated by sending probes (e.g., traceroute queriesin the Internet) throughnetworks fromcertain source nodes to certain destination nodes; see [8, 32]. We shall treat SD data as a collection of random vectors Wj,j= 1,...,N, generated from a sa”
- Network Tomography: Recent Developments (2004, background): “It builds upon the signal processing survey paper [1] and focuses on recent developments in the field.”