research-article

Network Topology Inference With Partial Information

Authors:

Simone Silvestri,

Thomas F. La Porta,

Ananthram SwamiAuthors Info & Claims

IEEE Transactions on Network and Service Management, Volume 12, Issue 3

Pages 406 - 419

https://doi.org/10.1109/TNSM.2015.2451032

Published: 01 September 2015 Publication History

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 and then use the collected information to infer the topology. We perform real experiments and show that, 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 toward 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 considered metrics. Additionally, we show that the topologies inferred by iTop significantly improve the performance of fault localization algorithms when compared with other approaches.

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Cited By

Wang YMen QXiao YChen YLiu GSekar VYu MSeneviratne AVeitch D(2024)ConfMask: Enabling Privacy-Preserving Configuration Sharing via AnonymizationProceedings of the ACM SIGCOMM 2024 Conference10.1145/3651890.3672217(465-483)Online publication date: 4-Aug-2024
https://dl.acm.org/doi/10.1145/3651890.3672217
Prashar DJha NShafiq MAhmad NRashid MAmin Banday SKhan H(2021)Blockchain-Based Automated System for Identification and Storage of NetworksSecurity and Communication Networks10.1155/2021/66942812021Online publication date: 1-Jan-2021
https://dl.acm.org/doi/10.1155/2021/6694281
Bouchoucha TChuah CDing Z(2017)Finding Link Topology of Large Scale Networks from Anchored Hop Count ReportsGLOBECOM 2017 - 2017 IEEE Global Communications Conference10.1109/GLOCOM.2017.8253952(1-6)Online publication date: 4-Dec-2017
https://dl.acm.org/doi/10.1109/GLOCOM.2017.8253952

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Network Topology Inference With Partial Information

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cover image IEEE Transactions on Network and Service Management

IEEE Transactions on Network and Service Management Volume 12, Issue 3

Sept. 2015

206 pages

ISSN:1932-4537

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IEEE Press

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Published: 01 September 2015

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Cited By

Wang YMen QXiao YChen YLiu GSekar VYu MSeneviratne AVeitch D(2024)ConfMask: Enabling Privacy-Preserving Configuration Sharing via AnonymizationProceedings of the ACM SIGCOMM 2024 Conference10.1145/3651890.3672217(465-483)Online publication date: 4-Aug-2024
https://dl.acm.org/doi/10.1145/3651890.3672217
Prashar DJha NShafiq MAhmad NRashid MAmin Banday SKhan H(2021)Blockchain-Based Automated System for Identification and Storage of NetworksSecurity and Communication Networks10.1155/2021/66942812021Online publication date: 1-Jan-2021
https://dl.acm.org/doi/10.1155/2021/6694281
Bouchoucha TChuah CDing Z(2017)Finding Link Topology of Large Scale Networks from Anchored Hop Count ReportsGLOBECOM 2017 - 2017 IEEE Global Communications Conference10.1109/GLOCOM.2017.8253952(1-6)Online publication date: 4-Dec-2017
https://dl.acm.org/doi/10.1109/GLOCOM.2017.8253952

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