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	<title>Blogs from RTI &#187; Ecosystem</title>
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	<description>The Real-Time Middleware Experts</description>
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		<title>Blogs from RTI &#187; Ecosystem</title>
		<link>http://blogs.rti.com</link>
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		<item>
		<title>New Video: Data-Centric Integration Demo &#8211; Android</title>
		<link>http://blogs.rti.com/2011/03/02/new-video-data-centric-integration-demo-android/</link>
		<comments>http://blogs.rti.com/2011/03/02/new-video-data-centric-integration-demo-android/#comments</comments>
		<pubDate>Wed, 02 Mar 2011 20:00:38 +0000</pubDate>
		<dc:creator>Ronald Leung</dc:creator>
				<category><![CDATA[Applications]]></category>
		<category><![CDATA[Ecosystem]]></category>
		<category><![CDATA[DDS "Data Distribution Service" Android Integration]]></category>

		<guid isPermaLink="false">http://blogs.rti.com/?p=336</guid>
		<description><![CDATA[A data-centric approach simplifies integration significantly, and this video provides a great case in point. RTI&#8217;s &#8220;Shapes Demo&#8221; application currently runs on Linux, Windows, and also in a web browser through RTI&#8217;s Web Integration Service (available as a preview release). This demo shows how a native Android application can integrate with all of these existing [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=blogs.rti.com&amp;blog=7350090&amp;post=336&amp;subd=rtidds&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<p>A data-centric approach simplifies integration significantly, and this video provides a great case in point. RTI&#8217;s &#8220;<a title="RTI Shapes Demo" href="http://www.rti.com/mk/shapes_demo.html" target="_blank">Shapes Demo</a>&#8221; application currently runs on Linux, Windows, and also in a web browser through RTI&#8217;s Web Integration Service (available as a preview release). This demo shows how a native Android application can integrate with all of these existing Shapes applications without modifying any existing code!</p>
<p><span style="text-align:center; display: block;"><a href="http://blogs.rti.com/2011/03/02/new-video-data-centric-integration-demo-android/"><img src="http://img.youtube.com/vi/E4fFzm5098E/2.jpg" alt="" /></a></span></p>
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			<media:title type="html">rtironald</media:title>
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	</item>
		<item>
		<title>RTI Routing Service for DDS</title>
		<link>http://blogs.rti.com/2009/11/13/rti-routing-service-for-dds/</link>
		<comments>http://blogs.rti.com/2009/11/13/rti-routing-service-for-dds/#comments</comments>
		<pubDate>Sat, 14 Nov 2009 00:09:46 +0000</pubDate>
		<dc:creator>David Barnett</dc:creator>
				<category><![CDATA[Ecosystem]]></category>
		<category><![CDATA[Product news]]></category>
		<category><![CDATA[Standards]]></category>

		<guid isPermaLink="false">http://blogs.rti.com/?p=189</guid>
		<description><![CDATA[The Object Management Group (OMG) Data Distribution Service (DDS) standard is now five years old and has enjoyed very rapid adoption. RTI alone has about 400 commercial customers (a sampling of which are listed here) and is supporting nearly 100 other research projects. With the maturity and broad adoption of DDS, we are seeing a [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=blogs.rti.com&amp;blog=7350090&amp;post=189&amp;subd=rtidds&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<p>The Object Management Group (OMG) Data Distribution Service (DDS) standard is now five years old and has enjoyed very rapid adoption. RTI alone has about 400 commercial customers (a sampling of which are listed <a title="RTI customers" href="http://www.rti.com/company/customers.html" target="_blank">here</a>) and is supporting nearly 100 other research projects.</p>
<p>With the maturity and broad adoption of DDS, we are seeing a couple of trends.</p>
<ul>
<li>DDS is being used in larger and more geographically disperse systems</li>
<li>Customers are moving to second-generation DDS based systems</li>
<li>Users are integrating multiple systems that already deploy DDS as their underlying integration bus</li>
</ul>
<p>To support these efforts, RTI recently introduced RTI Routing Service. RTI Routing Service provides a flexible solution for scaling DDS systems and for integrating disparate DDS applications. This includes:</p>
<ul>
<li>Applications that cannot directly communicate because they run on different networks (LAN and WAN), use different transport protocols (e.g., shared memory, IPv4 and IPv6), or are members of different security domains</li>
<li>Applications that natively use different DDS data types, such as new and legacy applications, individual systems within a System of Systems, and applications that support different Communities of Interest (COI)</li>
</ul>
<p>To learn how RTI Routing Service significantly reduces the costs of real-time system integration, upgrades and of implementing Cross-Domain Solutions (CDS), visit <a title="www.rti.com" href="http://www.rti.com/products/dds/routing-service.html" target="_blank">RTI’s web site</a> or watch this video demonstration.</p>
<span style="text-align:center; display: block;"><a href="http://blogs.rti.com/2009/11/13/rti-routing-service-for-dds/"><img src="http://img.youtube.com/vi/VSOzknYtNXk/2.jpg" alt="" /></a></span>
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		<media:content url="http://1.gravatar.com/avatar/bea4981d6f7cb4ed799407224df59b76?s=96&#38;d=identicon&#38;r=G" medium="image">
			<media:title type="html">David Barnett</media:title>
		</media:content>
	</item>
		<item>
		<title>Complex Event Processing – Making sense of all your data</title>
		<link>http://blogs.rti.com/2009/05/27/complex-event-processing-%e2%80%93-making-sense-of-all-your-data/</link>
		<comments>http://blogs.rti.com/2009/05/27/complex-event-processing-%e2%80%93-making-sense-of-all-your-data/#comments</comments>
		<pubDate>Thu, 28 May 2009 00:41:52 +0000</pubDate>
		<dc:creator>Jens Pillgram-Larsen</dc:creator>
				<category><![CDATA[Best practices]]></category>
		<category><![CDATA[Ecosystem]]></category>

		<guid isPermaLink="false">http://blogs.rti.com/?p=143</guid>
		<description><![CDATA[So you have a distributed system and you’re happily sending data between nodes in your system. The consumer applications are consuming the data your producer applications are producing, and everything is running smoothly. Now, that doesn’t sound like any system you know does it? Distributed systems are by nature complex. Nodes and applications are not [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=blogs.rti.com&amp;blog=7350090&amp;post=143&amp;subd=rtidds&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<p>So you have a distributed system and you’re happily sending data between nodes in your system. The consumer applications are consuming the data your producer applications are producing, and everything is running smoothly. Now, that doesn’t sound like any system you know does it? Distributed systems are by nature complex. Nodes and applications are not straight producers or consumers; they’re a bit of both. And there’s always some resource contention. This is where Complex Event Processing (CEP) comes on the scene. CEP allows you to run queries on streams of data in real-time, either transforming the data or triggering alerts based on data content. Let me explain by talking about a couple of use cases.</p>
<p><span id="more-143"></span>Let’s say you have a large distributed system where data is being exchanged between nodes and applications. You’re finding that some of your applications are getting starved for data, but everything looks fine in the network – there are only a few lost packets and plenty of bandwidth available.  The next step is moving up the stack to see what’s going on with the networking middleware. Now, if you’re lucky enough to have a well-behaved middleware like RTI Data Distribution Service, there are ways to retrieve detailed statistics about the communication channels. Passing this information through a CEP engine you can write queries that determine when and where you have a slow producer or consumer in your system that is clogging everything up.</p>
<p>Another common use-case is event correlation. Seemingly disparate events may not be, and corroborating can trigger pattern based alerts. Anyone who’s watched a Hollywood spy movie knows this – increased cell-phone chatter coupled with certain keywords and the change in behavior of suspected operatives means something bad is likely going to happen. Using CEP events can be monitored and corroborated in real-time and alerts sent out when the situation warrants it.</p>
<p>CEP is an incredibly powerful technology, and with increasing data rates it is a technology that should be watched carefully in the next couple of years.</p>
<p>Go check out RTI Event Processing at http://www.rti.com/products/rtievent_processing/ for an integration between RTI Data Distribution Service and Complex Event Processing.</p>
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			<media:title type="html">Jens</media:title>
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