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	<title>Comments on: Breaking through the disk speed barrier</title>
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	<link>http://www.dbms2.com/2005/11/13/breaking-the-disk-speed-barrier/</link>
	<description>Choices in data management and analysis</description>
	<pubDate>Thu, 22 May 2008 19:44:12 +0000</pubDate>
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		<title>By: DBMS2 &#8212; DataBase Management System Services&#187;Blog Archive &#187; Defining and surveying &#8220;Memory-centric data management&#8221;</title>
		<link>http://www.dbms2.com/2005/11/13/breaking-the-disk-speed-barrier/#comment-290</link>
		<dc:creator>DBMS2 &#8212; DataBase Management System Services&#187;Blog Archive &#187; Defining and surveying &#8220;Memory-centric data management&#8221;</dc:creator>
		<pubDate>Thu, 26 Jan 2006 21:35:20 +0000</pubDate>
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		<description>[...] Progress&#8217;s ObjectStore: ObjectStore comes from the company Object Design, which merged into Excelon, which was acquired by Progress. It&#8217;s really a toolkit for building DBMS and similar systems, which is why it&#8217;s at various times been marketed as an OODBMS and an XML DBMS, without a lot of success either way. But there have been a few sterling apps built in ObjectStore even so, including a key part of the Amazon bookstore Despite this limited market success, a significant fraction of Progress&#8217;s best engineering talent has moved over to the Real-Time Division to focus on ObjectStore and other memory-centric products. The memory-centric aspect of ObjectStore is this: ObjectStore&#8217;s big virtue is that it gets objects from disk to memory and vice-versa very efficiently, then distributes and caches them around a network as needed. This was originally invented for client/server processing, but works fine in a multi-server thin client setup as well. And object processing, of course, relies on a whole lot of pointers. And pointer-chasing is pretty much the worst way to deal with the disk speed barrier, unless you do it in main memory. [...]</description>
		<content:encoded><![CDATA[<p>[&#8230;] Progress&#8217;s ObjectStore: ObjectStore comes from the company Object Design, which merged into Excelon, which was acquired by Progress. It&#8217;s really a toolkit for building DBMS and similar systems, which is why it&#8217;s at various times been marketed as an OODBMS and an XML DBMS, without a lot of success either way. But there have been a few sterling apps built in ObjectStore even so, including a key part of the Amazon bookstore Despite this limited market success, a significant fraction of Progress&#8217;s best engineering talent has moved over to the Real-Time Division to focus on ObjectStore and other memory-centric products. The memory-centric aspect of ObjectStore is this: ObjectStore&#8217;s big virtue is that it gets objects from disk to memory and vice-versa very efficiently, then distributes and caches them around a network as needed. This was originally invented for client/server processing, but works fine in a multi-server thin client setup as well. And object processing, of course, relies on a whole lot of pointers. And pointer-chasing is pretty much the worst way to deal with the disk speed barrier, unless you do it in main memory. [&#8230;]</p>
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		<title>By: DBMS2 &#8212; DataBase Management System Services&#187;Blog Archive &#187; Some Moore&#8217;s Law data points</title>
		<link>http://www.dbms2.com/2005/11/13/breaking-the-disk-speed-barrier/#comment-173</link>
		<dc:creator>DBMS2 &#8212; DataBase Management System Services&#187;Blog Archive &#187; Some Moore&#8217;s Law data points</dc:creator>
		<pubDate>Fri, 02 Dec 2005 12:25:13 +0000</pubDate>
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		<description>[...] I&#8217;m not a hardware guy, but here are some data points around the subject of Moore&#8217;s Law, quasi-Moore laws, and their bearing on random access times to disk and RAM. This line of inquiry is central to my argument favoring memory-centric data management. [...]</description>
		<content:encoded><![CDATA[<p>[&#8230;] I&#8217;m not a hardware guy, but here are some data points around the subject of Moore&#8217;s Law, quasi-Moore laws, and their bearing on random access times to disk and RAM. This line of inquiry is central to my argument favoring memory-centric data management. [&#8230;]</p>
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	<item>
		<title>By: DBMS2 &#8212; DataBase Management System Services&#187;Blog Archive &#187; Is Oracle losing its edge?</title>
		<link>http://www.dbms2.com/2005/11/13/breaking-the-disk-speed-barrier/#comment-157</link>
		<dc:creator>DBMS2 &#8212; DataBase Management System Services&#187;Blog Archive &#187; Is Oracle losing its edge?</dc:creator>
		<pubDate>Mon, 21 Nov 2005 13:29:09 +0000</pubDate>
		<guid isPermaLink="false">http://www.dbms2.com/2005/11/13/breaking-the-disk-speed-barrier/#comment-157</guid>
		<description>[...] Memory-centric data mgt. [...]</description>
		<content:encoded><![CDATA[<p>[&#8230;] Memory-centric data mgt. [&#8230;]</p>
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	<item>
		<title>By: DBMS2 &#8212; DataBase Management System Services&#187;Blog Archive &#187; Breaking the disk speed barrier</title>
		<link>http://www.dbms2.com/2005/11/13/breaking-the-disk-speed-barrier/#comment-53</link>
		<dc:creator>DBMS2 &#8212; DataBase Management System Services&#187;Blog Archive &#187; Breaking the disk speed barrier</dc:creator>
		<pubDate>Mon, 14 Nov 2005 03:45:27 +0000</pubDate>
		<guid isPermaLink="false">http://www.dbms2.com/2005/11/13/breaking-the-disk-speed-barrier/#comment-53</guid>
		<description>[...] Memory-centric data mgt. [...]</description>
		<content:encoded><![CDATA[<p>[&#8230;] Memory-centric data mgt. [&#8230;]</p>
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