https://www.scipedia.com/wd/index.php?action=history&feed=atom&title=Wassermann_Casas_2018aWassermann Casas 2018a - Revision history2026-05-09T01:58:37ZRevision history for this page on the wikiMediaWiki 1.27.0-wmf.10https://www.scipedia.com/wd/index.php?title=Wassermann_Casas_2018a&diff=206196&oldid=prevScipediacontent: Scipediacontent moved page Draft Content 137063653 to Wassermann Casas 2018a2021-02-03T17:15:55Z<p>Scipediacontent moved page <a href="/public/Draft_Content_137063653" class="mw-redirect" title="Draft Content 137063653">Draft Content 137063653</a> to <a href="/public/Wassermann_Casas_2018a" title="Wassermann Casas 2018a">Wassermann Casas 2018a</a></p>
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</td></tr></table>Scipediacontenthttps://www.scipedia.com/wd/index.php?title=Wassermann_Casas_2018a&diff=206195&oldid=prevScipediacontent: Created page with " == Abstract == International audience; Internet path changes are frequently linked to path inflation and performance degradation; therefore, predicting their occurrence is h..."2021-02-03T17:15:52Z<p>Created page with " == Abstract == International audience; Internet path changes are frequently linked to path inflation and performance degradation; therefore, predicting their occurrence is h..."</p>
<p><b>New page</b></p><div><br />
== Abstract ==<br />
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International audience; Internet path changes are frequently linked to path inflation and performance degradation; therefore, predicting their occurrence is highly relevant for performance monitoring and dynamic traffic engineering. In this paper we showcase DisNETPerf and NETPerfTrace, two different and complementary tools for distributed Internet paths performance analysis, using machine learning models.<br />
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== Original document ==<br />
<br />
The different versions of the original document can be found in:<br />
<br />
* [https://hal.inria.fr/hal-01883815/file/disnetperf_demo_tma18.pdf https://hal.inria.fr/hal-01883815/file/disnetperf_demo_tma18.pdf]<br />
<br />
* [http://xplorestaging.ieee.org/ielx7/8488332/8506485/08506572.pdf?arnumber=8506572 http://xplorestaging.ieee.org/ielx7/8488332/8506485/08506572.pdf?arnumber=8506572],<br />
: [http://dx.doi.org/10.23919/tma.2018.8506572 http://dx.doi.org/10.23919/tma.2018.8506572]<br />
<br />
* [https://hal.inria.fr/hal-01883815 https://hal.inria.fr/hal-01883815],<br />
: [https://dblp.uni-trier.de/db/conf/tma/tma2018.html#WassermannC18 https://dblp.uni-trier.de/db/conf/tma/tma2018.html#WassermannC18],<br />
: [https://hal.inria.fr/hal-01883815/document https://hal.inria.fr/hal-01883815/document],<br />
: [https://academic.microsoft.com/#/detail/2893879868 https://academic.microsoft.com/#/detail/2893879868]<br />
<br />
* [https://hal.inria.fr/hal-01883815 https://hal.inria.fr/hal-01883815],<br />
: [https://hal.inria.fr/hal-01883815/document https://hal.inria.fr/hal-01883815/document],<br />
: [https://hal.inria.fr/hal-01883815/file/disnetperf_demo_tma18.pdf https://hal.inria.fr/hal-01883815/file/disnetperf_demo_tma18.pdf]</div>Scipediacontent