https://www.scipedia.com/wd/index.php?action=history&feed=atom&title=Chonavel_et_al_2019aChonavel et al 2019a - Revision history2026-04-21T20:49:49ZRevision history for this page on the wikiMediaWiki 1.27.0-wmf.10https://www.scipedia.com/wd/index.php?title=Chonavel_et_al_2019a&diff=195299&oldid=prevScipediacontent: Scipediacontent moved page Draft Content 569209482 to Chonavel et al 2019a2021-01-28T22:39:00Z<p>Scipediacontent moved page <a href="/public/Draft_Content_569209482" class="mw-redirect" title="Draft Content 569209482">Draft Content 569209482</a> to <a href="/public/Chonavel_et_al_2019a" title="Chonavel et al 2019a">Chonavel et al 2019a</a></p>
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</td></tr></table>Scipediacontenthttps://www.scipedia.com/wd/index.php?title=Chonavel_et_al_2019a&diff=195298&oldid=prevScipediacontent: Created page with " == Abstract == International audience; The study of round-trip time (RTT) measurements on the Internet is of particular importance for improving real-time applications, enfo..."2021-01-28T22:38:55Z<p>Created page with " == Abstract == International audience; The study of round-trip time (RTT) measurements on the Internet is of particular importance for improving real-time applications, enfo..."</p>
<p><b>New page</b></p><div><br />
== Abstract ==<br />
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International audience; The study of round-trip time (RTT) measurements on the Internet is of particular importance for improving real-time applications, enforcing QoS with traffic engineering, or detecting unexpected network conditions. On large timescales, from 1 hour to several days, RTT measurements exhibit characteristic patterns due to inter and intra-AS routing changes and traffic engineering, in addition to link congestion. We propose the use of a nonparametric Bayesian method to fully estimate HMM parameters from delay observations, including the number of states. We validate the model through three applications: the clustering of RIPE Atlas measurements, the detection of significant delay changes, and the reduction of the monitoring cost in routing overlays using Markov decision processes.<br />
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== Original document ==<br />
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The different versions of the original document can be found in:<br />
<br />
* [https://hal.archives-ouvertes.fr/hal-02300968/file/INFOCOM_2019___Abstract.pdf https://hal.archives-ouvertes.fr/hal-02300968/file/INFOCOM_2019___Abstract.pdf]<br />
<br />
* [http://xplorestaging.ieee.org/ielx7/8831168/8845034/08845296.pdf?arnumber=8845296 http://xplorestaging.ieee.org/ielx7/8831168/8845034/08845296.pdf?arnumber=8845296],<br />
: [http://dx.doi.org/10.1109/infcomw.2019.8845296 http://dx.doi.org/10.1109/infcomw.2019.8845296]<br />
<br />
* [https://dblp.uni-trier.de/db/conf/infocom/infocom2019w.html#MouchetVC19 https://dblp.uni-trier.de/db/conf/infocom/infocom2019w.html#MouchetVC19],<br />
: [https://hal.archives-ouvertes.fr/hal-02300968 https://hal.archives-ouvertes.fr/hal-02300968],<br />
: [https://hal.archives-ouvertes.fr/hal-02300968/document https://hal.archives-ouvertes.fr/hal-02300968/document],<br />
: [https://academic.microsoft.com/#/detail/2976704435 https://academic.microsoft.com/#/detail/2976704435]<br />
<br />
* [https://hal.archives-ouvertes.fr/hal-02300968 https://hal.archives-ouvertes.fr/hal-02300968],<br />
: [https://hal.archives-ouvertes.fr/hal-02300968/document https://hal.archives-ouvertes.fr/hal-02300968/document],<br />
: [https://hal.archives-ouvertes.fr/hal-02300968/file/INFOCOM_2019___Abstract.pdf https://hal.archives-ouvertes.fr/hal-02300968/file/INFOCOM_2019___Abstract.pdf]</div>Scipediacontent