Network topology inference with partial path information

B. Holbert, S. Tati, S. Silvestri, Thomas F. La Porta, A. Swami

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Full knowledge of the routing topology of the Internet is useful for a multitude of network management tasks. However, the full topology is often not known and is instead estimated using topology inference algorithms. Many of these algorithms use Traceroute to probe paths in the network and then use the collected information to infer the topology. In practice routers may severely disrupt the operation of Traceroute and cause it to only provide partial information. We propose iTop, an algorithm for inferring the network topology when only partial information is available. iTop constructs a virtual topology, which overestimates the number of network components, and then repeatedly merges links in this topology to resolve it towards the structure of the true network. We perform extensive simulations to compare iTop to state of the art inference algorithms. Results show that iTop significantly outperforms previous approaches and its inferred topologies are within 5% of the original networks for all the considered metrics.

Original languageEnglish (US)
Title of host publication2015 International Conference on Computing, Networking and Communications, ICNC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages796-802
Number of pages7
ISBN (Electronic)9781479969593
DOIs
StatePublished - Mar 26 2015
Event2015 International Conference on Computing, Networking and Communications, ICNC 2015 - Garden Grove, United States
Duration: Feb 16 2015Feb 19 2015

Publication series

Name2015 International Conference on Computing, Networking and Communications, ICNC 2015

Other

Other2015 International Conference on Computing, Networking and Communications, ICNC 2015
CountryUnited States
CityGarden Grove
Period2/16/152/19/15

Fingerprint

Topology
Network components
Network management
Routers
Internet

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

Cite this

Holbert, B., Tati, S., Silvestri, S., La Porta, T. F., & Swami, A. (2015). Network topology inference with partial path information. In 2015 International Conference on Computing, Networking and Communications, ICNC 2015 (pp. 796-802). [7069448] (2015 International Conference on Computing, Networking and Communications, ICNC 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCNC.2015.7069448
Holbert, B. ; Tati, S. ; Silvestri, S. ; La Porta, Thomas F. ; Swami, A. / Network topology inference with partial path information. 2015 International Conference on Computing, Networking and Communications, ICNC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 796-802 (2015 International Conference on Computing, Networking and Communications, ICNC 2015).
@inproceedings{21beda7be17f4ba8bf4162ae4db89d68,
title = "Network topology inference with partial path information",
abstract = "Full knowledge of the routing topology of the Internet is useful for a multitude of network management tasks. However, the full topology is often not known and is instead estimated using topology inference algorithms. Many of these algorithms use Traceroute to probe paths in the network and then use the collected information to infer the topology. In practice routers may severely disrupt the operation of Traceroute and cause it to only provide partial information. We propose iTop, an algorithm for inferring the network topology when only partial information is available. iTop constructs a virtual topology, which overestimates the number of network components, and then repeatedly merges links in this topology to resolve it towards the structure of the true network. We perform extensive simulations to compare iTop to state of the art inference algorithms. Results show that iTop significantly outperforms previous approaches and its inferred topologies are within 5{\%} of the original networks for all the considered metrics.",
author = "B. Holbert and S. Tati and S. Silvestri and {La Porta}, {Thomas F.} and A. Swami",
year = "2015",
month = "3",
day = "26",
doi = "10.1109/ICCNC.2015.7069448",
language = "English (US)",
series = "2015 International Conference on Computing, Networking and Communications, ICNC 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "796--802",
booktitle = "2015 International Conference on Computing, Networking and Communications, ICNC 2015",
address = "United States",

}

Holbert, B, Tati, S, Silvestri, S, La Porta, TF & Swami, A 2015, Network topology inference with partial path information. in 2015 International Conference on Computing, Networking and Communications, ICNC 2015., 7069448, 2015 International Conference on Computing, Networking and Communications, ICNC 2015, Institute of Electrical and Electronics Engineers Inc., pp. 796-802, 2015 International Conference on Computing, Networking and Communications, ICNC 2015, Garden Grove, United States, 2/16/15. https://doi.org/10.1109/ICCNC.2015.7069448

Network topology inference with partial path information. / Holbert, B.; Tati, S.; Silvestri, S.; La Porta, Thomas F.; Swami, A.

2015 International Conference on Computing, Networking and Communications, ICNC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 796-802 7069448 (2015 International Conference on Computing, Networking and Communications, ICNC 2015).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Network topology inference with partial path information

AU - Holbert, B.

AU - Tati, S.

AU - Silvestri, S.

AU - La Porta, Thomas F.

AU - Swami, A.

PY - 2015/3/26

Y1 - 2015/3/26

N2 - Full knowledge of the routing topology of the Internet is useful for a multitude of network management tasks. However, the full topology is often not known and is instead estimated using topology inference algorithms. Many of these algorithms use Traceroute to probe paths in the network and then use the collected information to infer the topology. In practice routers may severely disrupt the operation of Traceroute and cause it to only provide partial information. We propose iTop, an algorithm for inferring the network topology when only partial information is available. iTop constructs a virtual topology, which overestimates the number of network components, and then repeatedly merges links in this topology to resolve it towards the structure of the true network. We perform extensive simulations to compare iTop to state of the art inference algorithms. Results show that iTop significantly outperforms previous approaches and its inferred topologies are within 5% of the original networks for all the considered metrics.

AB - Full knowledge of the routing topology of the Internet is useful for a multitude of network management tasks. However, the full topology is often not known and is instead estimated using topology inference algorithms. Many of these algorithms use Traceroute to probe paths in the network and then use the collected information to infer the topology. In practice routers may severely disrupt the operation of Traceroute and cause it to only provide partial information. We propose iTop, an algorithm for inferring the network topology when only partial information is available. iTop constructs a virtual topology, which overestimates the number of network components, and then repeatedly merges links in this topology to resolve it towards the structure of the true network. We perform extensive simulations to compare iTop to state of the art inference algorithms. Results show that iTop significantly outperforms previous approaches and its inferred topologies are within 5% of the original networks for all the considered metrics.

UR - http://www.scopus.com/inward/record.url?scp=84928018960&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84928018960&partnerID=8YFLogxK

U2 - 10.1109/ICCNC.2015.7069448

DO - 10.1109/ICCNC.2015.7069448

M3 - Conference contribution

AN - SCOPUS:84928018960

T3 - 2015 International Conference on Computing, Networking and Communications, ICNC 2015

SP - 796

EP - 802

BT - 2015 International Conference on Computing, Networking and Communications, ICNC 2015

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Holbert B, Tati S, Silvestri S, La Porta TF, Swami A. Network topology inference with partial path information. In 2015 International Conference on Computing, Networking and Communications, ICNC 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 796-802. 7069448. (2015 International Conference on Computing, Networking and Communications, ICNC 2015). https://doi.org/10.1109/ICCNC.2015.7069448