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Traceroute Probe Method 2008-08 Dataset

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Traceroute Probe Method 2008-08 Dataset


This dataset is useful for studying the effects that the choice of a traceroute probing method has on the inferred IP path. Several traceroute probe methods exist, each designed to perform better in a scenario where another fails. This dataset contains traceroute paths from 8 vantage points on Archipelago to a variety of destinations using up to 6 different probing methods per destination. This is the dataset analyzed in the IMC 2008 paper, Traceroute Probe Method and Forward IP Path Inference.

Acceptable Use Agreement

Access to these data is subject to the terms of the following CAIDA Acceptable Use Agreement (printable version in PDF format)

When referencing this data (as required by the AUA), please use:

The Traceroute Probe Method 2008-08 Dataset,
https://www.caida.org/data/active/trmethod-200808.xml.
or reference the paper
M. Luckie, Y. Hyun, and B. Huffaker,
"Traceroute Probe Method and Forward IP Path Inference",
Proc. Internet Measurement Conference (IMC), Vouliagmeni, Greece, Oct 2008, pp. 311-324,
https://www.caida.org/publications/papers/2008/traceroute_probe_method/
Also, please, report your publication to CAIDA.

Dataset Access

The raw scamper warts files are freely downloadable.

Analysis Tools

You can analyze this data (available in the warts format) with the sc_analysis_dump tool included in the scamper distribution package. The source code of the exact version of scamper (scamper-cvs-20080808) used to create this dataset is available locally in the data download directory.

The sc_analysis_dump tool prints out information about each trace in an easy-to-parse textual format (one trace per line). You would typically write a perl script to analyze the output of sc_analysis_dump.

Another tool you may want to consider is the warts-dump tool, which is also included in the scamper distribution. The output of warts-dump is somewhat less easy to parse, but warts-dump prints out practically all information contained in a warts file.

Finally, you can write your analysis scripts in the Ruby language using rb-wartslib, an easy-to-use Ruby binding to the warts I/O library.

Topology Datasets

References

For more information on CAIDA topology measurements, see:

For more information on topology measurements in general see:

  Last Modified: Tue Oct-13-2020 22:22:00 UTC
  Page URL: https://www.caida.org/data/active/trmethod-200808.xml