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	<title>ClusterCenter RSS Feed: architecture</title>
	<link>http://clustercenter.org</link>
	<description>Pligg Web 2.0 Content Management System</description>
	<pubDate>Wed, 11 Mar 2009 15:30:30 CST</pubDate>
	<language>en</language>
	<item>
		<title><![CDATA[Joe Stump - Scaling Digg and Other Web Applications]]></title>
		<link>http://clustercenter.org/architecture/Joe-Stump--Scaling-Digg-Other-Web-Applications/</link>
		<comments>http://clustercenter.org/architecture/Joe-Stump--Scaling-Digg-Other-Web-Applications/</comments>
		<pubDate>Wed, 11 Mar 2009 15:30:30 CST</pubDate>
		<dc:creator>wensong</dc:creator>
		<category>architecture</category>
		<guid>http://clustercenter.org/architecture/Joe-Stump--Scaling-Digg-Other-Web-Applications/</guid>
		<description><![CDATA[Joe Stump is currently the Lead Architect for Digg where he spends his time partitioning data, creating internal services, and ensuring the code frameworks are in working order.Digg by the number ]]></description>
	</item>

	<item>
		<title><![CDATA[Hypertable: An Open Source, High Performance, Scalable Database]]></title>
		<link>http://clustercenter.org/database/Hypertable-Open-Source-High-Performance-Scalable-Database/</link>
		<comments>http://clustercenter.org/database/Hypertable-Open-Source-High-Performance-Scalable-Database/</comments>
		<pubDate>Fri, 22 Feb 2008 23:42:37 CST</pubDate>
		<dc:creator>wensong</dc:creator>
		<category>database</category>
		<guid>http://clustercenter.org/database/Hypertable-Open-Source-High-Performance-Scalable-Database/</guid>
		<description><![CDATA[Hypertable is an open source project to develop massively parallel high performance database platform. Its architecture more or less follows Google's bigtable design.rnrnThe project goal is to b ]]></description>
	</item>

	<item>
		<title><![CDATA[Google Scalability Conference Trip Report: GFS, MapReduce, and BigTable]]></title>
		<link>http://clustercenter.org/architecture/Google-Scalability-Conference-Trip-Report-GFS-MapReduce-BigTable/</link>
		<comments>http://clustercenter.org/architecture/Google-Scalability-Conference-Trip-Report-GFS-MapReduce-BigTable/</comments>
		<pubDate>Thu, 29 Nov 2007 00:41:50 CST</pubDate>
		<dc:creator>wensong</dc:creator>
		<category>architecture</category>
		<guid>http://clustercenter.org/architecture/Google-Scalability-Conference-Trip-Report-GFS-MapReduce-BigTable/</guid>
		<description><![CDATA[In a blog post, Microsoft's Dare Obasanjo shared his notes from the keynote session MapReduce, BigTable, and Other Distributed System Abstractions for Handling Large Datasets by Jeff Dean.rnrnThe ]]></description>
	</item>

	<item>
		<title><![CDATA[Installing a large Linux cluster, Part 1: Introduction and hardware configuration]]></title>
		<link>http://clustercenter.org/computing/Installing-large-Linux-cluster-Part-1-Introduction-hardware-configuration/</link>
		<comments>http://clustercenter.org/computing/Installing-large-Linux-cluster-Part-1-Introduction-hardware-configuration/</comments>
		<pubDate>Wed, 27 Jun 2007 13:15:56 CST</pubDate>
		<dc:creator>Jerry.Gallagher</dc:creator>
		<category>computing</category>
		<guid>http://clustercenter.org/computing/Installing-large-Linux-cluster-Part-1-Introduction-hardware-configuration/</guid>
		<description><![CDATA[Part one of a three part series describing the setup of a large Linux cluster. This part of the series covers Architecture, networking and management ]]></description>
	</item>

	<item>
		<title><![CDATA[Inside MySpace.com]]></title>
		<link>http://clustercenter.org/loadbalancing/Inside-MySpace-com/</link>
		<comments>http://clustercenter.org/loadbalancing/Inside-MySpace-com/</comments>
		<pubDate>Tue, 22 May 2007 22:42:57 CST</pubDate>
		<dc:creator>wensong</dc:creator>
		<category>loadbalancing</category>
		<guid>http://clustercenter.org/loadbalancing/Inside-MySpace-com/</guid>
		<description><![CDATA[Booming traffic demands put a constant stress on the social network's computing infrastructure. Yet, MySpace developers have repeatedly redesigned th ]]></description>
	</item>

	<item>
		<title><![CDATA[LiveJournal's Backend: A history of scaling]]></title>
		<link>http://clustercenter.org/loadbalancing/LiveJournals-Backend-history-scaling/</link>
		<comments>http://clustercenter.org/loadbalancing/LiveJournals-Backend-history-scaling/</comments>
		<pubDate>Sat, 17 Mar 2007 09:34:46 CST</pubDate>
		<dc:creator>wensong</dc:creator>
		<category>loadbalancing</category>
		<guid>http://clustercenter.org/loadbalancing/LiveJournals-Backend-history-scaling/</guid>
		<description><![CDATA[Brad Fitzpatrick, President and CTO of LiveJournal.com, has a very good presentation about LiveJournal's backend systems. The presentation has 80 sli ]]></description>
	</item>

	<item>
		<title><![CDATA[InfoQ: 
		
    	Introduction to OpenTerracotta]]></title>
		<link>http://clustercenter.org/loadbalancing/InfoQ------Introduction-to-OpenTerracotta/</link>
		<comments>http://clustercenter.org/loadbalancing/InfoQ------Introduction-to-OpenTerracotta/</comments>
		<pubDate>Mon, 05 Mar 2007 22:24:03 CST</pubDate>
		<dc:creator>wensong</dc:creator>
		<category>loadbalancing</category>
		<guid>http://clustercenter.org/loadbalancing/InfoQ------Introduction-to-OpenTerracotta/</guid>
		<description><![CDATA[OpenTerracotta is an open source enterprise-class JVM clustering solution that can take multi-threaded single-JVM apps and have them run across multi ]]></description>
	</item>

	<item>
		<title><![CDATA[InfoQ: Distributed Caching Essential Lessons]]></title>
		<link>http://clustercenter.org/caching/InfoQ-Distributed-Caching-Essential-Lessons/</link>
		<comments>http://clustercenter.org/caching/InfoQ-Distributed-Caching-Essential-Lessons/</comments>
		<pubDate>Sun, 04 Mar 2007 19:43:03 CST</pubDate>
		<dc:creator>wensong</dc:creator>
		<category>caching</category>
		<guid>http://clustercenter.org/caching/InfoQ-Distributed-Caching-Essential-Lessons/</guid>
		<description><![CDATA[In this presentation, recorded at Javapolis, Cameron Purdy shows how to improve application performance &amp; scalability via caching architectures to re ]]></description>
	</item>

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