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	<title>ClusterCenter / zhaofu - voted</title>
	<link>http://clustercenter.org</link>
	<description>Pligg Web 2.0 Content Management System</description>
	<pubDate>Mon, 23 Apr 2007 14:08:57 +0800</pubDate>
	<language>en</language>
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		<title><![CDATA[MapReduce: Simplified Data Processing on Large Clusters]]></title>
		<link>http://clustercenter.org/software/MapReduce-Simplified-Data-Processing-on-Large-Clusters/</link>
		<comments>http://clustercenter.org/software/MapReduce-Simplified-Data-Processing-on-Large-Clusters/</comments>
		<pubDate>Mon, 23 Apr 2007 14:08:57 +0800</pubDate>
		<dc:creator>zhaofu</dc:creator>
		<category>software</category>
		<guid>http://clustercenter.org/software/MapReduce-Simplified-Data-Processing-on-Large-Clusters/</guid>
		<description><![CDATA[MapReduce is a programming model and an associated implementation for processing and generating large data sets. Users specify a map function that processes a key/value pair to generate a set of intermediate key/value pairs, and a reduce function that merges all intermediate values associated with the same intermediate key. Many real world tasks are expressible in this model, as shown in the paper.Programs written in this functional style are automatically parallelized and executed on a large cluster of commodity machines. The run-time system takes care of the details of partitioning the input data, scheduling the program's execution across a set of machines, handling machine failures, and managing the required inter-machine communication. This allows programmers without any experience with parallel and distributed systems to easily utilize the resources of a large distributed system.Our implementation of MapReduce runs on a large cluster of commodity machines and is highly scalable: a typical MapReduce computation processes many terabytes of data on thousands of machines. Programmers find the system easy to use: hundreds of MapReduce programs have been implemented and upwards of one thousand MapReduce jobs are executed on Google's clusters every day. &nbsp;&#187;&nbsp;<a href='http://labs.google.com/papers/mapreduce.html'>original news</a>]]></description>
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	<item>
		<title><![CDATA[IBM aims to make computing clusters easier]]></title>
		<link>http://clustercenter.org/computing/IBM-aims-to-make-computing-clusters-easier-1/</link>
		<comments>http://clustercenter.org/computing/IBM-aims-to-make-computing-clusters-easier-1/</comments>
		<pubDate>Sat, 10 Mar 2007 21:02:59 +0800</pubDate>
		<dc:creator>zhaofu</dc:creator>
		<category>computing</category>
		<guid>http://clustercenter.org/computing/IBM-aims-to-make-computing-clusters-easier-1/</guid>
		<description><![CDATA[It may be too early to talk plug-and-play but IBM believes it can help businesses of all sizes easily cluster their servers to handle intensive computing workloads.Leveraging its expertise in high-end computing and vertical industry applications, IBM has launched several initiatives to allow small and medium-size businesses (SMBs) and the departments of large enterprises to integrate their servers -- from as few as two to many thousands -- into computing clusters designed for high-performance computing tasks, the company said Wednesday.Initially targeted at the businesses in the life sciences, computer-aided engineering, and finance sectors, IBM will offer preconfigured &quot;snap-together&quot; cluster systems for customers using the company's computers and storage devices. The systems are designed to run on Linux and Microsoft Windows Compute Cluster Server 2003 operating systems and will include networking technology from companies such as Cisco Systems.The collaboration with Microsoft will allow businesses to use parallel processing on clusters to free up client machines from long-running applications.ISVs (independent software vendors) and business partners will receive tools to help them introduce IBM's cluster systems. These include sizing guides with predefined cluster configurations for simple ordering and installation. IBM business partners have access to the company's Cluster Enablement Team for technical questions and advice.For customers, software vendors and business partners running Microsoft cluster servers, IBM has four new benchmarking facilities in Poughkeepsie, New York, Raleigh, North Carolina, Beaverton, Oregon and Montpelier, France. These centers join a network of global Linux benchmark centers.To attract businesses interested in computing clusters, IBM's Deep Computing Capacity on Demand centers will give them access to more than 20,000 processors to test the technology for themselves.IBM offers a range of products that support computing clusters, including its System x, System p and BladeCenter servers, as well as the IBM System Storage and IBM System Cluster 1350. &nbsp;&#187;&nbsp;<a href='http://www.infoworld.com/article/07/02/28/HNibmcomputingclusters_1.html'>original news</a>]]></description>
	</item>

	<item>
		<title><![CDATA[Open. Always Available.: Succesful Year 2006-Continuent Has More Than 100 Customers]]></title>
		<link>http://clustercenter.org/database/Open--Always-Available--Succesful-Year-2006-Continuent-Has-More-Than-100-Customers/</link>
		<comments>http://clustercenter.org/database/Open--Always-Available--Succesful-Year-2006-Continuent-Has-More-Than-100-Customers/</comments>
		<pubDate>Wed, 07 Mar 2007 16:51:19 +0800</pubDate>
		<dc:creator>zhaofu</dc:creator>
		<category>database</category>
		<guid>http://clustercenter.org/database/Open--Always-Available--Succesful-Year-2006-Continuent-Has-More-Than-100-Customers/</guid>
		<description><![CDATA[Continuent has remained as the main solution for many Web 2.0 companies seeking to improve availability and scalability of their LAMP (with MySQL and PostgreSQL) and LAMJ based applications. During 2006, Continuent demonstrated its entry in the enterprise world as many leading companies including CNET, Moody'sKMV NASDAQ, The National Weather Service (NOOA) and Thales Group (UK) chose Continuent uni/cluster to address their database high-availability needs.&quot;Our market acceptance is a clear indication of the increased demand for open source databases in mission critical use and the overall positive effects of an open source economy,&quot; said Eero Teerikorpi, CEO of Continuent. &quot;More and more companies are seeking cost effective alternatives for their database needs. Continuent uni/cluster solutions allow our customers to use MySQL and PostgreSQL with their critical applications, which earlier would have required more expensive commercial database solutions. Continuent is well positioned to continue our success in 2007 and beyond.&quot;Continuent's main open source project, Sequoia (at www.continuent.org), has risen in popularity, being in top 200 out of 46,000 open source projects listed by freshmeat.org. During 2006, Sequoia's vitality index peaked in top 10, which is clear indication of the strong market interest, community following and activity. Continuent has also significantly increased the third party contributions by our community members, especially in the area of database connectivity options.Continuent is also increasingly hosting other open source projects, of which most notable is the Appia group communication solution, challenging the better, known JGroups. &nbsp;&#187;&nbsp;<a href='http://teerikorpi.typepad.com/open_always_available/2007/01/succesful_year_.html'>original news</a>]]></description>
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