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	<title>Tools and Benchmarks for Real-Time Systems</title>
	<subtitle>ECRTS Community Forum</subtitle>
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	<updated>2016-06-30T16:09:59+01:00</updated>

	<author><name><![CDATA[Tools and Benchmarks for Real-Time Systems]]></name></author>
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		<entry>
		<author><name><![CDATA[Sophie Quinton]]></name></author>
		<updated>2016-06-30T16:09:59+01:00</updated>

		<published>2016-06-30T16:09:59+01:00</published>
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		<title type="html"><![CDATA[Dynamic criticality management with ARTEMIS]]></title>

		
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<strong class="text-strong">Title: </strong>Dynamic criticality management with ARTEMIS<br><br><strong class="text-strong">Authors: </strong><br>Olivier CROS (LIGM / Université Paris-Est)<br>Geoffrey EHRMANN (LACSC)<br>Laurent GEORGE (LIGM / Université Paris-Est, ESIEE)<br><br><strong class="text-strong">Abstract:</strong> In this work, we propose to detail the mixed-criticality integration inside our network simulator ARTEMIS. The objective here is to propose a solution to manage and simulate concrete criticality level changes inside network infrastructures, in order to focus on a network topology reconfiguration w.r.t to critical and non-critical messages evolutions. Through a transmission time computation model based on a probabilistic approach, we propose a solution to generate flowsets integrating mixed-criticality, in order to simulate the scheduling of these flowsets through different topologies.<br><br><strong class="text-strong">Attached paper:</strong><div class="inline-attachment"><dl class="file"><dt><span class="imageset icon_topic_attach"></span> <a class="postlink" href="http://localhost/download/file.php?id=43&amp;sid=d74079af129d5480a5ac4fd1778eecc1">WATERS_2016_ARTEMIS.pdf</a></dt></dl></div><p>Statistics: Posted by <a href="http://localhost/memberlist.php?mode=viewprofile&amp;u=55">Sophie Quinton</a> — Thu Jun 30, 2016</p><hr />
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