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	<title>Inside-BigData &#187; I/O</title>
	<atom:link href="http://inside-bigdata.com/category/io/feed/" rel="self" type="application/rss+xml" />
	<link>http://inside-bigdata.com</link>
	<description>Discovering Gold with Big Data Analytics and Data-Intensive Computing</description>
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		<title>Radio Free HPC Looks at Why You Gotta Own Your Own Archive, Part 1</title>
		<link>http://inside-bigdata.com/radio-free-hpc-looks-at-why-you-gotta-own-your-own-archive-part-1/</link>
		<comments>http://inside-bigdata.com/radio-free-hpc-looks-at-why-you-gotta-own-your-own-archive-part-1/#comments</comments>
		<pubDate>Thu, 30 May 2013 12:00:06 +0000</pubDate>
		<dc:creator>Rich</dc:creator>
				<category><![CDATA[Archival]]></category>
		<category><![CDATA[Business of Big Data]]></category>
		<category><![CDATA[Events]]></category>
		<category><![CDATA[I/O]]></category>
		<category><![CDATA[Storage]]></category>

		<guid isPermaLink="false">http://inside-bigdata.com/?p=3079</guid>
		<description><![CDATA[<p>In Part 1 of this podcast, the Radio Free HPC team looks at the importance of owning your own archive of enterprise data. The discussion was prompted by Henry Newman&#8217;s presentation entitled: Today’s I/O Challenges for Big Data Analysis from the recent HPC User Forum in Tucson. Download the MP3 * Download the mobile video * Download 1024p Video [...]</p><p>The post <a href="http://inside-bigdata.com/radio-free-hpc-looks-at-why-you-gotta-own-your-own-archive-part-1/">Radio Free HPC Looks at Why You Gotta Own Your Own Archive, Part 1</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></description>
			<content:encoded><![CDATA[<p><iframe width="510" height="287" src="http://www.youtube.com/embed/WmhFt5Kv2lU?rel=0" frameborder="0" allowfullscreen></iframe></p>
<p>In Part 1 of this podcast, the <em>Radio Free HPC</em> team looks at the importance of owning your own archive of enterprise data.</p>
<p>The discussion was prompted by Henry Newman&#8217;s presentation entitled: <em><a href="http://insidehpc.com/2013/05/14/henry-newman-presents-todays-io-challenges-for-big-data-analysis/">Today’s I/O Challenges for Big Data Analysis</a></em> from the recent <a href="http://hpcuserforum.com/download.html">HPC User Forum</a> in Tucson.</p>
<p><a href="http://bit.ly/12MVlRs">Download the MP3</a> * <a href="http://bit.ly/18rSweT">Download the mobile video</a> * <a href="http://bit.ly/1awlEOK">Download 1024p Video</a> * <a href="http://bit.ly/WgEZzd">Subscribe on iTunes</a> * <a title="RSS" href="http://bit.ly/QXKy3V">RSS Feed</a></p>
<br /><div class="linkedInShareButton"><script type="text/javascript" src="http://platform.linkedin.com/in.js"></script><script type="in/share" data-url="http://inside-bigdata.com/radio-free-hpc-looks-at-why-you-gotta-own-your-own-archive-part-1/"></script></div><div class="ad" style="padding-top: 10px; border-top: 1px dotted gray; padding-bottom: 5px; font-size: .95em;">&nbsp;</div><p>The post <a href="http://inside-bigdata.com/radio-free-hpc-looks-at-why-you-gotta-own-your-own-archive-part-1/">Radio Free HPC Looks at Why You Gotta Own Your Own Archive, Part 1</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></content:encoded>
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		</item>
		<item>
		<title>SCSI Express: Extending the SCSI Platform of Innovation</title>
		<link>http://inside-bigdata.com/scsi-express-extending-the-scsi-platform-of-innovation/</link>
		<comments>http://inside-bigdata.com/scsi-express-extending-the-scsi-platform-of-innovation/#comments</comments>
		<pubDate>Wed, 29 May 2013 16:38:37 +0000</pubDate>
		<dc:creator>Rich</dc:creator>
				<category><![CDATA[Business of Big Data]]></category>
		<category><![CDATA[Flash and SSD]]></category>
		<category><![CDATA[Hardware]]></category>
		<category><![CDATA[I/O]]></category>
		<category><![CDATA[Podcasts]]></category>
		<category><![CDATA[Storage]]></category>
		<category><![CDATA[Video]]></category>

		<guid isPermaLink="false">http://inside-bigdata.com/?p=3076</guid>
		<description><![CDATA[<p>In this slidecast, Marty Czekalski from the SCSI Trade Association presents: Extending the SCSI Platform of Innovation. SCSI Express is the robust and proven SCSI protocol combined with PCIe that creates an industry-standard path to PCIe-based storage. SCSI Express combined with SAS-based solutions provides unprecedented performance and low latency that enterprises demand. View the slides [...]</p><p>The post <a href="http://inside-bigdata.com/scsi-express-extending-the-scsi-platform-of-innovation/">SCSI Express: Extending the SCSI Platform of Innovation</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></description>
			<content:encoded><![CDATA[<p><iframe width="511" height="383" src="http://www.youtube.com/embed/4HFLTE5533Q?rel=0" frameborder="0" allowfullscreen></iframe></p>
<p>In this slidecast, Marty Czekalski from the <a href="http://www.scsita.org/">SCSI Trade Association</a> presents: <em>Extending the SCSI Platform of Innovation</em>.</p>
<blockquote><p>SCSI Express is the robust and proven SCSI protocol combined with PCIe that creates an industry-standard path to PCIe-based storage. SCSI Express combined with SAS-based solutions provides unprecedented performance and low latency that enterprises demand.</p></blockquote>
<p><a href="http://www.slideshare.net/rbeetle/scsi-express-overview">View the slides</a> * <a href="http://bit.ly/11yROtn">Download the MP3</a> * <a href="http://phobos.apple.com/WebObjects/MZStore.woa/wa/viewPodcast?id=275928198">Subscribe on iTunes</a>* <a href="http://feeds.feedburner.com/SunRadioHpcPodcast">Subscribe to RSS</a></p>
<br /><div class="linkedInShareButton"><script type="text/javascript" src="http://platform.linkedin.com/in.js"></script><script type="in/share" data-url="http://inside-bigdata.com/scsi-express-extending-the-scsi-platform-of-innovation/"></script></div><div class="ad" style="padding-top: 10px; border-top: 1px dotted gray; padding-bottom: 5px; font-size: .95em;">&nbsp;</div><p>The post <a href="http://inside-bigdata.com/scsi-express-extending-the-scsi-platform-of-innovation/">SCSI Express: Extending the SCSI Platform of Innovation</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></content:encoded>
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		</item>
		<item>
		<title>Video: EIOW Exascale I/O Working Group</title>
		<link>http://inside-bigdata.com/video-eiow-exascale-io-working-group/</link>
		<comments>http://inside-bigdata.com/video-eiow-exascale-io-working-group/#comments</comments>
		<pubDate>Sat, 18 May 2013 13:49:41 +0000</pubDate>
		<dc:creator>Rich</dc:creator>
				<category><![CDATA[Hardware]]></category>
		<category><![CDATA[HPC]]></category>
		<category><![CDATA[I/O]]></category>
		<category><![CDATA[Lustre]]></category>
		<category><![CDATA[Software]]></category>
		<category><![CDATA[Storage]]></category>
		<category><![CDATA[Video]]></category>

		<guid isPermaLink="false">http://inside-bigdata.com/?p=3021</guid>
		<description><![CDATA[<p>In this video from the Lustre User Group 2013, Meghan McClelland from Xyratex presents: EIOW &#8211; Exascale I/O Working Group. There is a fierce competition on the storage market to offer the best performing devices, with great management at a low price. The EIOW group, from the outset, decided that it would not attempt to [...]</p><p>The post <a href="http://inside-bigdata.com/video-eiow-exascale-io-working-group/">Video: EIOW Exascale I/O Working Group</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></description>
			<content:encoded><![CDATA[<p><iframe width="511" height="383" src="http://www.youtube.com/embed/CNqbW79KfV8?rel=0" frameborder="0" allowfullscreen></iframe></p>
<p>In this video from the <a href="http://www.opensfs.org/resources/presentations/">Lustre User Group 2013</a>, Meghan McClelland from <a href="http://xyratex.com">Xyratex</a> presents: <em><a href="http://www.xyratex.com/news/blog/tag/eiow">EIOW</a> &#8211; Exascale I/O Working Group</em>.</p>
<blockquote><p>There is a fierce competition on the storage market to offer the best performing devices, with great management at a low price. The EIOW group, from the outset, decided that it would not attempt to offer an end-to-end solution, which would necessarily involve competing instead of working with storage providers. The focus of EIOW is on middleware to provide, for example, schemas describing data structure and layout, novel access methods to data for applications, a uniform data management infrastructure and a framework for the implementation of layered I/O software, similar in spirit to HDF5 as a specialized use of a parallel file system. We decided EIOW should be open, and have interfaces to layer on lower level storage infrastructure such as object stores, databases and file systems as provided by storage providers, to allow their expertise and leadership in this area to continue to benefit the HPC community.</p></blockquote>
<p>Download the <a href="http://www.xyratex.com/sites/default/files/file/field_white_paper_pdf/Exascale%20IO%20-%20EIOW%20-%20Peter%20Braam.pdf">EIOW whitepaper</a> and <a href="http://www.opensfs.org/wp-content/uploads/2013/04/Lug-2013-exascale10.pdf">slides</a>, or check out our <a href="http://insidehpc.com/lug-2013-video-gallery/">LUG 2013 Video Gallery</a>.</p>
<br /><div class="linkedInShareButton"><script type="text/javascript" src="http://platform.linkedin.com/in.js"></script><script type="in/share" data-url="http://inside-bigdata.com/video-eiow-exascale-io-working-group/"></script></div><div class="ad" style="padding-top: 10px; border-top: 1px dotted gray; padding-bottom: 5px; font-size: .95em;">&nbsp;</div><p>The post <a href="http://inside-bigdata.com/video-eiow-exascale-io-working-group/">Video: EIOW Exascale I/O Working Group</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></content:encoded>
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		<item>
		<title>Video: Today&#8217;s I/O Challenges for Big Data Analysis</title>
		<link>http://inside-bigdata.com/video-todays-io-challenges-for-big-data-analysis/</link>
		<comments>http://inside-bigdata.com/video-todays-io-challenges-for-big-data-analysis/#comments</comments>
		<pubDate>Thu, 16 May 2013 12:00:49 +0000</pubDate>
		<dc:creator>Rich</dc:creator>
				<category><![CDATA[Archival]]></category>
		<category><![CDATA[HPC]]></category>
		<category><![CDATA[I/O]]></category>
		<category><![CDATA[Video]]></category>

		<guid isPermaLink="false">http://inside-bigdata.com/?p=3009</guid>
		<description><![CDATA[<p>In this video from the 2013 HPC User Forum, Henry Newman from Instrumental presents: Today&#8217;s I/O Challenges for Big Data Analysis. Those who own the archive own the big data solutions as you cannot move data around. Download the slides (PDF) or check out the HPC User Forum Video Gallery. &#160;</p><p>The post <a href="http://inside-bigdata.com/video-todays-io-challenges-for-big-data-analysis/">Video: Today&#8217;s I/O Challenges for Big Data Analysis</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></description>
			<content:encoded><![CDATA[<p><iframe width="511" height="383" src="http://www.youtube.com/embed/3-47HxcHl5I?rel=0" frameborder="0" allowfullscreen></iframe></p>
<p>In this video from the <a href="http://hpcuserforum.com/download.html">2013 HPC User Forum</a>, Henry Newman from <a href="http://instrumental.com">Instrumental</a> presents: <em>Today&#8217;s I/O Challenges for Big Data Analysis</em>.</p>
<blockquote><p>Those who own the archive own the big data solutions as you cannot move data around.</p></blockquote>
<p><a href="http://www.hpcuserforum.com/presentations/tuscon2013/HenryNewman.pdf">Download the slides (PDF)</a> or check out the <a href="http://insidehpc.com/2013-hpc-user-forum-video-gallery/">HPC User Forum Video Gallery</a>.</p>
<br /><div class="linkedInShareButton"><script type="text/javascript" src="http://platform.linkedin.com/in.js"></script><script type="in/share" data-url="http://inside-bigdata.com/video-todays-io-challenges-for-big-data-analysis/"></script></div><div class="ad" style="padding-top: 10px; border-top: 1px dotted gray; padding-bottom: 5px; font-size: .95em;">&nbsp;</div><p>The post <a href="http://inside-bigdata.com/video-todays-io-challenges-for-big-data-analysis/">Video: Today&#8217;s I/O Challenges for Big Data Analysis</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></content:encoded>
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		<item>
		<title>Slidecast: Teradata Rolls Out Intelligent Memory Technology</title>
		<link>http://inside-bigdata.com/slidecast-teradata-rolls-out-intelligent-memory-technology/</link>
		<comments>http://inside-bigdata.com/slidecast-teradata-rolls-out-intelligent-memory-technology/#comments</comments>
		<pubDate>Wed, 08 May 2013 14:38:54 +0000</pubDate>
		<dc:creator>Rich</dc:creator>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Business of Big Data]]></category>
		<category><![CDATA[Hardware]]></category>
		<category><![CDATA[I/O]]></category>
		<category><![CDATA[Software]]></category>
		<category><![CDATA[Video]]></category>

		<guid isPermaLink="false">http://inside-bigdata.com/?p=2943</guid>
		<description><![CDATA[<p>In this slidecast, Scott Gnau from Teradata Labs presents: Teradata Intelligent Memory. The introduction of Teradata Intelligent Memory allows our customers to exploit the performance of memory within Teradata Platforms, which extends our leadership position as the best performing data warehouse technology at the most competitive price,” said Scott Gnau, president, Teradata Labs. “Teradata Intelligent [...]</p><p>The post <a href="http://inside-bigdata.com/slidecast-teradata-rolls-out-intelligent-memory-technology/">Slidecast: Teradata Rolls Out Intelligent Memory Technology</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></description>
			<content:encoded><![CDATA[<p><iframe width="511" height="383" src="http://www.youtube.com/embed/QMtfvx59q4M?rel=0" frameborder="0" allowfullscreen></iframe></p>
<p>In this slidecast, Scott Gnau from Teradata Labs presents: <em>Teradata Intelligent Memory</em>.</p>
<blockquote><p>The introduction of Teradata Intelligent Memory allows our customers to exploit the performance of memory within Teradata Platforms, which extends our leadership position as the best performing data warehouse technology at the most competitive price,” said Scott Gnau, president, Teradata Labs. “Teradata Intelligent Memory technology is built into the data warehouse and customers don’t have to buy a separate appliance. Additionally, Teradata enables its customers to buy and configure the exact amount of in-memory capability needed for critical workloads. It is unnecessary and impractical to keep all data in memory, because all data do not have the same value to justify being placed in expensive memory.”</p></blockquote>
<p>&nbsp;</p>
<p><iframe width="510" height="287" src="http://www.youtube.com/embed/kzO3ZbTsTQI?rel=0" frameborder="0" allowfullscreen></iframe></p>
<p>How does Intelligent Memory work? This animation video does a good job of making this advanced technology look simple.</p>
<p>Read the <a href="http://www.teradata.com/products-and-services/Teradata-Database/#tab4">Full Story</a> * <a href="http://www.slideshare.net/insideHPC/teradata-intelligent-memory">View the slides</a> * <a href="https://archive.org/download/TeradataIntelligentMemoryPodcast/Teradata%20Intelligent%20Memory%20Podcast.mp3">Download the MP3</a> * <a href="http://phobos.apple.com/WebObjects/MZStore.woa/wa/viewPodcast?id=275928198">Subscribe on iTunes</a> * <a href="http://feeds.feedburner.com/SunRadioHpcPodcast">Subscribe to RSS</a><br />
<a id="li_ui_li_gen_1368023624360_7-link"></a></p>
<br /><div class="linkedInShareButton"><script type="text/javascript" src="http://platform.linkedin.com/in.js"></script><script type="in/share" data-url="http://inside-bigdata.com/slidecast-teradata-rolls-out-intelligent-memory-technology/"></script></div><div class="ad" style="padding-top: 10px; border-top: 1px dotted gray; padding-bottom: 5px; font-size: .95em;">&nbsp;</div><p>The post <a href="http://inside-bigdata.com/slidecast-teradata-rolls-out-intelligent-memory-technology/">Slidecast: Teradata Rolls Out Intelligent Memory Technology</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></content:encoded>
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		<item>
		<title>Video: Massive I/O Requirements for the SKA Telescope</title>
		<link>http://inside-bigdata.com/video-massive-io-requirements-for-the-ska-telescope/</link>
		<comments>http://inside-bigdata.com/video-massive-io-requirements-for-the-ska-telescope/#comments</comments>
		<pubDate>Tue, 07 May 2013 12:00:02 +0000</pubDate>
		<dc:creator>Rich</dc:creator>
				<category><![CDATA[Events]]></category>
		<category><![CDATA[Hardware]]></category>
		<category><![CDATA[HPC]]></category>
		<category><![CDATA[I/O]]></category>
		<category><![CDATA[Network]]></category>
		<category><![CDATA[Video]]></category>

		<guid isPermaLink="false">http://inside-bigdata.com/?p=2933</guid>
		<description><![CDATA[<p>In this video from the 2013 Open Fabrics Developer Workshop, Bill Boas from Cray presents: Massive I/O Requirements for the SKA Telescope. Processing the vast quantities of data produced by the SKA will require very high performance central supercomputers capable of 100 petaflops per second processing power. This is about 50 times more powerful than [...]</p><p>The post <a href="http://inside-bigdata.com/video-massive-io-requirements-for-the-ska-telescope/">Video: Massive I/O Requirements for the SKA Telescope</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></description>
			<content:encoded><![CDATA[<p><iframe width="511" height="383" src="http://www.youtube.com/embed/sJSW5-5G00w?rel=0" frameborder="0" allowfullscreen></iframe></p>
<p>In this video from the <a href="https://www.openfabrics.org/images/docs/2013_Dev_Workshop/2013_Dev_Workshop_Presentations.pdf">2013 Open Fabrics Developer Workshop</a>, Bill Boas from Cray presents: <em>Massive I/O Requirements for the SKA Telescope</em>.</p>
<blockquote><p>Processing the vast quantities of data produced by the SKA will require very high performance central supercomputers capable of 100 petaflops per second processing power. This is about 50 times more powerful than the most powerful supercomputer in 2010 and equivalent to the processing power of about one hundred million PCs.</p></blockquote>
<p><a href="https://connect.innovateuk.org/c/document_library/get_file?p_l_id=941226&#038;folderId=10328163&#038;name=DLFE-138823.pdf">Download the slides (PDF)</a> or check out more OFA videos in our <a href="http://insidehpc.com/video-gallery-open-fabrics-developer-workshop-2013/">Open Fabrics Worshop Video Gallery</a>.</p>
<br /><div class="linkedInShareButton"><script type="text/javascript" src="http://platform.linkedin.com/in.js"></script><script type="in/share" data-url="http://inside-bigdata.com/video-massive-io-requirements-for-the-ska-telescope/"></script></div><div class="ad" style="padding-top: 10px; border-top: 1px dotted gray; padding-bottom: 5px; font-size: .95em;">&nbsp;</div><p>The post <a href="http://inside-bigdata.com/video-massive-io-requirements-for-the-ska-telescope/">Video: Massive I/O Requirements for the SKA Telescope</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></content:encoded>
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		<item>
		<title>Podcast: Radio Free HPC Looks at Lustre with Brent Gorda</title>
		<link>http://inside-bigdata.com/podcast-radio-free-hpc-looks-at-lustre-with-brent-gorda/</link>
		<comments>http://inside-bigdata.com/podcast-radio-free-hpc-looks-at-lustre-with-brent-gorda/#comments</comments>
		<pubDate>Tue, 07 May 2013 11:00:15 +0000</pubDate>
		<dc:creator>Rich</dc:creator>
				<category><![CDATA[Events]]></category>
		<category><![CDATA[HPC]]></category>
		<category><![CDATA[I/O]]></category>
		<category><![CDATA[Lustre]]></category>
		<category><![CDATA[Podcasts]]></category>

		<guid isPermaLink="false">http://inside-bigdata.com/?p=2928</guid>
		<description><![CDATA[<p>&#160; In this podcast, the Radio Free HPC team discusses Lustre and LUG 2013 with Brent Gorda. Now part of Intel in their High Performance Data Division, Gorda was CEO of Whamcloud when the company was acquired last summer. Gorda recently wrote a post about the rapid growth of the Lustre community, so we started [...]</p><p>The post <a href="http://inside-bigdata.com/podcast-radio-free-hpc-looks-at-lustre-with-brent-gorda/">Podcast: Radio Free HPC Looks at Lustre with Brent Gorda</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></description>
			<content:encoded><![CDATA[<p><div class="CSS_CLASS"><embed type="application/x-shockwave-flash" src="http://prac-gadget.googlecode.com/svn/branches/google-audio-step.swf" quality="best" flashvars="audioUrl=http://bit.ly/13nUecB"  width="500" height="33"></embed></div><br />
&nbsp;<br />
<a href="http://whamcloud.com"><img alt="" src="http://storageconference.org/2013/Speakers/GordaPhoto.jpg" title="Brent Gorda" class="alignright" width="131" height="152" /></a>In this <a href="http://bit.ly/13nUecB">podcast</a>, the <a href="http://radiofreehpc.com">Radio Free HPC</a> team discusses Lustre and <a href="http://www.opensfs.org/resources/presentations/">LUG 2013</a> with Brent Gorda. Now part of Intel in their High Performance Data Division, Gorda was CEO of <a href="http://whamcloud.com">Whamcloud</a> when the company was acquired last summer. </p>
<p>Gorda recently wrote a post about the <a href="http://www.whamcloud.com/2013/04/state-of-the-lustre-community-2013/">rapid growth of the Lustre community</a>, so we started our discussion there and learned a good deal more about the popular file system.</p>
<p><a href="http://bit.ly/13nUecB">Download the MP3</a> * <a href="http://phobos.apple.com/WebObjects/MZStore.woa/wa/viewPodcast?id=275928198">Subscribe on iTunes</a> * <a href="http://feeds.feedburner.com/SunRadioHpcPodcast">Subscribe to RSS</a></p>
<br /><div class="linkedInShareButton"><script type="text/javascript" src="http://platform.linkedin.com/in.js"></script><script type="in/share" data-url="http://inside-bigdata.com/podcast-radio-free-hpc-looks-at-lustre-with-brent-gorda/"></script></div><div class="ad" style="padding-top: 10px; border-top: 1px dotted gray; padding-bottom: 5px; font-size: .95em;">&nbsp;</div><p>The post <a href="http://inside-bigdata.com/podcast-radio-free-hpc-looks-at-lustre-with-brent-gorda/">Podcast: Radio Free HPC Looks at Lustre with Brent Gorda</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></content:encoded>
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		<title>Video: High Availability in Lustre</title>
		<link>http://inside-bigdata.com/video-high-availability-in-lustre/</link>
		<comments>http://inside-bigdata.com/video-high-availability-in-lustre/#comments</comments>
		<pubDate>Mon, 06 May 2013 14:35:31 +0000</pubDate>
		<dc:creator>Rich</dc:creator>
				<category><![CDATA[Events]]></category>
		<category><![CDATA[Hardware]]></category>
		<category><![CDATA[HPC]]></category>
		<category><![CDATA[I/O]]></category>
		<category><![CDATA[Lustre]]></category>
		<category><![CDATA[Software]]></category>
		<category><![CDATA[Storage]]></category>
		<category><![CDATA[Video]]></category>

		<guid isPermaLink="false">http://inside-bigdata.com/?p=2924</guid>
		<description><![CDATA[<p>In this video from the Lustre User Group 2013, John Fragalla from Xyratex presents: High Availability in Lustre. Download the slides (PDF) or check out our LUG 2013 Video Gallery. &#160;</p><p>The post <a href="http://inside-bigdata.com/video-high-availability-in-lustre/">Video: High Availability in Lustre</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></description>
			<content:encoded><![CDATA[<p><iframe width="511" height="383" src="http://www.youtube.com/embed/nM5Put8vCR0?rel=0" frameborder="0" allowfullscreen></iframe></p>
<p>In this video from the <a href="http://www.opensfs.org/resources/presentations/">Lustre User Group 2013</a>, John Fragalla from <a href="http://xyratex.com">Xyratex</a> presents: <em>High Availability in Lustre</em>.</p>
<p><a href="http://www.opensfs.org/wp-content/uploads/2013/04/Xyratex_High-Availability-in-Lustre_John-Fragalla-18th_820a.pdf">Download the slides (PDF)</a> or check out our <a href="http://insidehpc.com/lug-2013-video-gallery/">LUG 2013 Video Gallery</a>.</p>
<br /><div class="linkedInShareButton"><script type="text/javascript" src="http://platform.linkedin.com/in.js"></script><script type="in/share" data-url="http://inside-bigdata.com/video-high-availability-in-lustre/"></script></div><div class="ad" style="padding-top: 10px; border-top: 1px dotted gray; padding-bottom: 5px; font-size: .95em;">&nbsp;</div><p>The post <a href="http://inside-bigdata.com/video-high-availability-in-lustre/">Video: High Availability in Lustre</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></content:encoded>
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		<title>Video: DataDirect Networks Update</title>
		<link>http://inside-bigdata.com/video-datadirect-networks-update/</link>
		<comments>http://inside-bigdata.com/video-datadirect-networks-update/#comments</comments>
		<pubDate>Sun, 05 May 2013 15:42:31 +0000</pubDate>
		<dc:creator>Rich</dc:creator>
				<category><![CDATA[Business of Big Data]]></category>
		<category><![CDATA[HPC]]></category>
		<category><![CDATA[I/O]]></category>
		<category><![CDATA[Lustre]]></category>
		<category><![CDATA[Software]]></category>
		<category><![CDATA[Storage]]></category>
		<category><![CDATA[Video]]></category>

		<guid isPermaLink="false">http://inside-bigdata.com/?p=2922</guid>
		<description><![CDATA[<p>In this video from the Lustre User Group 2013, Jeff Denworth from DDN presents: DataDirect Networks Update. DDN has developed a Hadoop solution that is all about time to value: It simplifies rollout so that enterprises can get up and running more quickly, provides typical DDN performance to accelerate data processing, and reduces the amount [...]</p><p>The post <a href="http://inside-bigdata.com/video-datadirect-networks-update/">Video: DataDirect Networks Update</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></description>
			<content:encoded><![CDATA[<p><iframe width="510" height="287" src="http://www.youtube.com/embed/A8B649og4Ow?rel=0" frameborder="0" allowfullscreen></iframe></p>
<p>In this video from the <a href="http://www.opensfs.org/resources/presentations/">Lustre User Group 2013</a>, Jeff Denworth from DDN presents: <em>DataDirect Networks Update</em>.</p>
<blockquote><p>DDN has developed a <a href="http://www.ddn.com/products/hscaler-appliance">Hadoop solution</a> that is all about time to value: It simplifies rollout so that enterprises can get up and running more quickly, provides typical DDN performance to accelerate data processing, and reduces the amount of time needed to maintain a Hadoop solution.” said Dave Vellante, Chief Research Officer, Wikibon.org. “For enterprises with a deluge of data but a limited IT budget, the DDN hScaler appliance should be on the short list of potential solutions.”</p></blockquote>
<p><a href="http://www.opensfs.org/wp-content/uploads/2013/04/DDN-LUG-Talk.pdf">Download the slides (PDF)</a> or check out our <a href="http://insidehpc.com/lug-2013-video-gallery/">LUG 2013 Video Gallery</a>.</p>
<br /><div class="linkedInShareButton"><script type="text/javascript" src="http://platform.linkedin.com/in.js"></script><script type="in/share" data-url="http://inside-bigdata.com/video-datadirect-networks-update/"></script></div><div class="ad" style="padding-top: 10px; border-top: 1px dotted gray; padding-bottom: 5px; font-size: .95em;">&nbsp;</div><p>The post <a href="http://inside-bigdata.com/video-datadirect-networks-update/">Video: DataDirect Networks Update</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></content:encoded>
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		<title>High Performance RDMA-based Design for Big Data and Web 2.0 memcached</title>
		<link>http://inside-bigdata.com/high-performance-rdma-based-design-for-big-data-and-web-2-0-memcached/</link>
		<comments>http://inside-bigdata.com/high-performance-rdma-based-design-for-big-data-and-web-2-0-memcached/#comments</comments>
		<pubDate>Fri, 26 Apr 2013 15:36:31 +0000</pubDate>
		<dc:creator>Rich</dc:creator>
				<category><![CDATA[Events]]></category>
		<category><![CDATA[Hardware]]></category>
		<category><![CDATA[HPC]]></category>
		<category><![CDATA[I/O]]></category>
		<category><![CDATA[memcached]]></category>
		<category><![CDATA[Network]]></category>
		<category><![CDATA[Software]]></category>
		<category><![CDATA[Video]]></category>

		<guid isPermaLink="false">http://inside-bigdata.com/?p=2860</guid>
		<description><![CDATA[<p>In this video from the 2013 Open Fabrics Developer Workshop, D.K. Panda from Ohio State University presents: High Performance RDMA-based Design for Big Data and Web 2.0 memcached. You can check out more OFA videos at our Open Fabrics Workshop Video Gallery. &#160;</p><p>The post <a href="http://inside-bigdata.com/high-performance-rdma-based-design-for-big-data-and-web-2-0-memcached/">High Performance RDMA-based Design for Big Data and Web 2.0 memcached</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></description>
			<content:encoded><![CDATA[<p><iframe width="511" height="383" src="http://www.youtube.com/embed/DQ1TikGw2v8?rel=0" frameborder="0" allowfullscreen></iframe></p>
<p>In this video from the <a href="https://www.openfabrics.org/press-room/2013-intl-developer-workshop.html">2013 Open Fabrics Developer Workshop</a>, D.K. Panda from Ohio State University presents: <em>High Performance RDMA-based Design for Big Data and Web 2.0 memcached</em>.</p>
<p>You can check out more OFA videos at our <a href="http://insidehpc.com/video-gallery-open-fabrics-developer-workshop-2013/">Open Fabrics Workshop Video Gallery</a>.</p>
<br /><div class="linkedInShareButton"><script type="text/javascript" src="http://platform.linkedin.com/in.js"></script><script type="in/share" data-url="http://inside-bigdata.com/high-performance-rdma-based-design-for-big-data-and-web-2-0-memcached/"></script></div><div class="ad" style="padding-top: 10px; border-top: 1px dotted gray; padding-bottom: 5px; font-size: .95em;">&nbsp;</div><p>The post <a href="http://inside-bigdata.com/high-performance-rdma-based-design-for-big-data-and-web-2-0-memcached/">High Performance RDMA-based Design for Big Data and Web 2.0 memcached</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></content:encoded>
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