Internet tomography

IEEE Signal Processing Magazine

Volumn 19, Issue 3, 2002, Pages 47-65

  Coates, Mark ^a,b   Hero III, Alfred O ^b,c,d,e   Nowak, Robert ^f   Yu, Bin ^b,g  

^a MCGILL UNIVERSITY   (Canada)

^b IEEE

^c Signal Processing Theory and Methods (SPTM) Technical Committee

^d Department of Commission C   (United States)

^e AMERICAN STATISTICAL ASSOCIATION   (United States)

^f RICE UNIVERSITY   (United States)

^g UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ELECTRONIC COMMERCE; IMAGE RECONSTRUCTION; INVERSE PROBLEMS; MATHEMATICAL MODELS; OPTIMIZATION; PARAMETER ESTIMATION; ROUTERS; SERVERS; STATISTICAL METHODS; TELECOMMUNICATION LINKS; TELECOMMUNICATION TRAFFIC; TOMOGRAPHY;

DISTRIBUTED NETWORK; NETWORK TRAFFIC;

INTERNET;

EID: 85032752298     PISSN: 10535888     EISSN: None     Source Type: Journal    
DOI: 10.1109/79.998081     Document Type: Article

References (58)

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2. Trajectory sampling for direct traffic observation
3. On the self-similar nature of ethernet traffic
4. End-to-end internet packet dynamics
5. A multifractal wavelet model with application to TCP network traffic
6. Dynamics of IP traffic: A study of the role of variability and the impact of control
7. Scaling analysis of conservative cascades with applications to network traffic
8. On the propagation of long-range dependence in the internet
9. Sequential Monte Carlo inference of internal delays in nonstationary communication networks
10. Network tomography: Estimating source-destination traffic intensities from link data
11. Multicast-based inference of network-internal characteristics (MINC)
12. Multicast-based inference of network-internal loss characteristics
13. Network loss inference using unicast end-to-end measurement
14. Network tomography for internal delay estimation
15. Inferring link loss using striped unicast probes
16. Robust identification of shared losses using end-to-end unicast probes
17. Multicast-based inference of network-internal delay distributions
18. Inference of multicast routing trees and bottleneck bandwidths using end-to-end measurements
19. Unicast inference of network link delay distributions from edge measurements
20. Estimation of network link loss rates via chaining in multicast trees
21. Bayesian inference on network traffic using link count data (with discussion)
22. Time-varying network tomography: Router link data
23. A scalable method for estimating network traffic matrices from link counts
24. An EM approach to OD matrix estimation
25. Inverse problems and signal processing
26. A statistical perspective on ill-posed inverse problems
27. Multicast topology inference from end-to-end measurements
28. Multicast topology inference from measured end-to-end loss
29. Inference and labeling of metric-induced network topologies
30. Maximum likelihood network topology identification from edge-based unicast measurements
31. Maximum likelihood identification of network topology from end-to-end measurement
32. Networks for networks: Internet analysis using Bayesian graphical models
33. Multicast inference of packet delay variance at interior network links
34. Passive network tomography using EM algorithms
35. Recommendations on queue management and congestion avoidance in the internet
36. End-to-end internet packet dynamics
37. Measuring link bandwidths using a deterministic model of packet delay
38. Passive unicast network tomography based on top monitoring
39. Unicast network tomography using the EM algorithm
40. End-to-end packet delay and loss behaviour in the internet
41. Nonparametric internet tomography
42. Deriving traffic demands for operational IP networks: Methodology and experience
43. On a least squares adjustment of a sampled frequency table when the expected marginal totals are known
44. Divergence geometry of probability distributions and minimization problems