<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Rendon</style></author><author><style face="normal" font="default" size="100%">Oscar Mauricio Caicedo</style></author><author><style face="normal" font="default" size="100%">Estrada-Solano</style></author><author><style face="normal" font="default" size="100%">Guimarães, V</style></author><author><style face="normal" font="default" size="100%">L. M. R</style></author><author><style face="normal" font="default" size="100%">Tarouco</style></author><author><style face="normal" font="default" size="100%">Granville, L. Z</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Rich dynamic mashments: An approach for network management based on mashups and situation management.</style></title><secondary-title><style face="normal" font="default" size="100%">Computer Networks</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">MashupNetwork managementSituation managementWeb-based network management</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2016</style></year><pub-dates><date><style  face="normal" font="default" size="100%">01/2016</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.sciencedirect.com/science/article/pii/S1389128615004107</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">94</style></volume><abstract><style face="normal" font="default" size="100%">&lt;p&gt;&lt;span style=&quot;color: rgb(80, 80, 80); font-family: Arial, Helvetica, &amp;quot;Lucida Sans Unicode&amp;quot;, &amp;quot;Microsoft Sans Serif&amp;quot;, &amp;quot;Segoe UI Symbol&amp;quot;, STIXGeneral, &amp;quot;Cambria Math&amp;quot;, &amp;quot;Arial Unicode MS&amp;quot;, sans-serif; font-size: 16px;&quot;&gt;In network management, significant research efforts have been carried out to automate and facilitate the tasks conducted by network administrators. However, so far, none of these efforts has exploited the opportunities of jointly using the Situation Management discipline and the mashup technology for network management. This paper introduces an approach, called Rich Dynamic Mashments, to facilitate the daily work of network administrators when dealing with unexpected, dynamic, and heterogeneous situations. We have referred to as&amp;nbsp;&lt;/span&gt;&lt;em style=&quot;box-sizing: border-box; color: rgb(80, 80, 80); font-family: Arial, Helvetica, &amp;quot;Lucida Sans Unicode&amp;quot;, &amp;quot;Microsoft Sans Serif&amp;quot;, &amp;quot;Segoe UI Symbol&amp;quot;, STIXGeneral, &amp;quot;Cambria Math&amp;quot;, &amp;quot;Arial Unicode MS&amp;quot;, sans-serif; font-size: 16px;&quot;&gt;nmsits&lt;/em&gt;&lt;span style=&quot;color: rgb(80, 80, 80); font-family: Arial, Helvetica, &amp;quot;Lucida Sans Unicode&amp;quot;, &amp;quot;Microsoft Sans Serif&amp;quot;, &amp;quot;Segoe UI Symbol&amp;quot;, STIXGeneral, &amp;quot;Cambria Math&amp;quot;, &amp;quot;Arial Unicode MS&amp;quot;, sans-serif; font-size: 16px;&quot;&gt;&amp;nbsp;to such type of network management situations (&lt;/span&gt;&lt;em style=&quot;box-sizing: border-box; color: rgb(80, 80, 80); font-family: Arial, Helvetica, &amp;quot;Lucida Sans Unicode&amp;quot;, &amp;quot;Microsoft Sans Serif&amp;quot;, &amp;quot;Segoe UI Symbol&amp;quot;, STIXGeneral, &amp;quot;Cambria Math&amp;quot;, &amp;quot;Arial Unicode MS&amp;quot;, sans-serif; font-size: 16px;&quot;&gt;e.g.&lt;/em&gt;&lt;span style=&quot;color: rgb(80, 80, 80); font-family: Arial, Helvetica, &amp;quot;Lucida Sans Unicode&amp;quot;, &amp;quot;Microsoft Sans Serif&amp;quot;, &amp;quot;Segoe UI Symbol&amp;quot;, STIXGeneral, &amp;quot;Cambria Math&amp;quot;, &amp;quot;Arial Unicode MS&amp;quot;, sans-serif; font-size: 16px;&quot;&gt;, a sudden packet loss in a core router of a network backbone and an unforeseen slowness in data transmission over a link between virtual routers) and&amp;nbsp;&lt;/span&gt;&lt;em style=&quot;box-sizing: border-box; color: rgb(80, 80, 80); font-family: Arial, Helvetica, &amp;quot;Lucida Sans Unicode&amp;quot;, &amp;quot;Microsoft Sans Serif&amp;quot;, &amp;quot;Segoe UI Symbol&amp;quot;, STIXGeneral, &amp;quot;Cambria Math&amp;quot;, &amp;quot;Arial Unicode MS&amp;quot;, sans-serif; font-size: 16px;&quot;&gt;mashments&lt;/em&gt;&lt;span style=&quot;color: rgb(80, 80, 80); font-family: Arial, Helvetica, &amp;quot;Lucida Sans Unicode&amp;quot;, &amp;quot;Microsoft Sans Serif&amp;quot;, &amp;quot;Segoe UI Symbol&amp;quot;, STIXGeneral, &amp;quot;Cambria Math&amp;quot;, &amp;quot;Arial Unicode MS&amp;quot;, sans-serif; font-size: 16px;&quot;&gt;&amp;nbsp;to tunable mashups that use Situation Management for conducting network management tasks. The proposed approach is made up by the models of&amp;nbsp;&lt;/span&gt;&lt;em style=&quot;box-sizing: border-box; color: rgb(80, 80, 80); font-family: Arial, Helvetica, &amp;quot;Lucida Sans Unicode&amp;quot;, &amp;quot;Microsoft Sans Serif&amp;quot;, &amp;quot;Segoe UI Symbol&amp;quot;, STIXGeneral, &amp;quot;Cambria Math&amp;quot;, &amp;quot;Arial Unicode MS&amp;quot;, sans-serif; font-size: 16px;&quot;&gt;nmsits&lt;/em&gt;&lt;span style=&quot;color: rgb(80, 80, 80); font-family: Arial, Helvetica, &amp;quot;Lucida Sans Unicode&amp;quot;, &amp;quot;Microsoft Sans Serif&amp;quot;, &amp;quot;Segoe UI Symbol&amp;quot;, STIXGeneral, &amp;quot;Cambria Math&amp;quot;, &amp;quot;Arial Unicode MS&amp;quot;, sans-serif; font-size: 16px;&quot;&gt;&amp;nbsp;and&amp;nbsp;&lt;/span&gt;&lt;em style=&quot;box-sizing: border-box; color: rgb(80, 80, 80); font-family: Arial, Helvetica, &amp;quot;Lucida Sans Unicode&amp;quot;, &amp;quot;Microsoft Sans Serif&amp;quot;, &amp;quot;Segoe UI Symbol&amp;quot;, STIXGeneral, &amp;quot;Cambria Math&amp;quot;, &amp;quot;Arial Unicode MS&amp;quot;, sans-serif; font-size: 16px;&quot;&gt;mashments&lt;/em&gt;&lt;span style=&quot;color: rgb(80, 80, 80); font-family: Arial, Helvetica, &amp;quot;Lucida Sans Unicode&amp;quot;, &amp;quot;Microsoft Sans Serif&amp;quot;, &amp;quot;Segoe UI Symbol&amp;quot;, STIXGeneral, &amp;quot;Cambria Math&amp;quot;, &amp;quot;Arial Unicode MS&amp;quot;, sans-serif; font-size: 16px;&quot;&gt;, the mechanisms to automatically recognize&amp;nbsp;&lt;/span&gt;&lt;em style=&quot;box-sizing: border-box; color: rgb(80, 80, 80); font-family: Arial, Helvetica, &amp;quot;Lucida Sans Unicode&amp;quot;, &amp;quot;Microsoft Sans Serif&amp;quot;, &amp;quot;Segoe UI Symbol&amp;quot;, STIXGeneral, &amp;quot;Cambria Math&amp;quot;, &amp;quot;Arial Unicode MS&amp;quot;, sans-serif; font-size: 16px;&quot;&gt;nmsits&lt;/em&gt;&lt;span style=&quot;color: rgb(80, 80, 80); font-family: Arial, Helvetica, &amp;quot;Lucida Sans Unicode&amp;quot;, &amp;quot;Microsoft Sans Serif&amp;quot;, &amp;quot;Segoe UI Symbol&amp;quot;, STIXGeneral, &amp;quot;Cambria Math&amp;quot;, &amp;quot;Arial Unicode MS&amp;quot;, sans-serif; font-size: 16px;&quot;&gt;and dynamically compose&amp;nbsp;&lt;/span&gt;&lt;em style=&quot;box-sizing: border-box; color: rgb(80, 80, 80); font-family: Arial, Helvetica, &amp;quot;Lucida Sans Unicode&amp;quot;, &amp;quot;Microsoft Sans Serif&amp;quot;, &amp;quot;Segoe UI Symbol&amp;quot;, STIXGeneral, &amp;quot;Cambria Math&amp;quot;, &amp;quot;Arial Unicode MS&amp;quot;, sans-serif; font-size: 16px;&quot;&gt;mashments&lt;/em&gt;&lt;span style=&quot;color: rgb(80, 80, 80); font-family: Arial, Helvetica, &amp;quot;Lucida Sans Unicode&amp;quot;, &amp;quot;Microsoft Sans Serif&amp;quot;, &amp;quot;Segoe UI Symbol&amp;quot;, STIXGeneral, &amp;quot;Cambria Math&amp;quot;, &amp;quot;Arial Unicode MS&amp;quot;, sans-serif; font-size: 16px;&quot;&gt;, and the architecture supporting these models and mechanisms. We further implement a prototype of our approach and conduct an extensive analysis on networks based on the Software-Defined Networking paradigm. The analysis results have provided directions and evidence that corroborate the feasibility of using Rich Dynamic Mashments as an effective approach for network management in terms of time-recognition, time-composition, time-consuming, time-response, and network traffic.&lt;/span&gt;&lt;/p&gt;
</style></abstract><section><style face="normal" font="default" size="100%">285-306</style></section></record></records></xml>