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<?xml-stylesheet type="text/xsl" href="http://sqlblog.com/utility/FeedStylesheets/rss.xsl" media="screen"?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:slash="http://purl.org/rss/1.0/modules/slash/" xmlns:wfw="http://wellformedweb.org/CommentAPI/"><channel><title>Linchi Shea : Performance, grid computing</title><link>http://sqlblog.com/blogs/linchi_shea/archive/tags/Performance/grid+computing/default.aspx</link><description>Tags: Performance, grid computing</description><dc:language>en</dc:language><generator>CommunityServer 2.1 SP2 (Build: 61129.1)</generator><item><title>SQL storms from your data grids</title><link>http://sqlblog.com/blogs/linchi_shea/archive/2009/06/29/sql-storms-from-your-data-grids.aspx</link><pubDate>Mon, 29 Jun 2009 17:41:00 GMT</pubDate><guid isPermaLink="false">21093a07-8b3d-42db-8cbf-3350fcbf5496:15000</guid><dc:creator>Linchi Shea</dc:creator><slash:comments>7</slash:comments><comments>http://sqlblog.com/blogs/linchi_shea/comments/15000.aspx</comments><wfw:commentRss>http://sqlblog.com/blogs/linchi_shea/commentrss.aspx?PostID=15000</wfw:commentRss><description>As organizations start to deploy various data grids into their application layers, they may start to experience what I’d call a SQL storm —a massive number of simple SQL requests that are issued over a large number of concurrent database connections at...(&lt;a href="http://sqlblog.com/blogs/linchi_shea/archive/2009/06/29/sql-storms-from-your-data-grids.aspx"&gt;read more&lt;/a&gt;)&lt;img src="http://sqlblog.com/aggbug.aspx?PostID=15000" width="1" height="1"&gt;</description><category domain="http://sqlblog.com/blogs/linchi_shea/archive/tags/Performance/default.aspx">Performance</category><category domain="http://sqlblog.com/blogs/linchi_shea/archive/tags/data+grid/default.aspx">data grid</category><category domain="http://sqlblog.com/blogs/linchi_shea/archive/tags/SQL+storm/default.aspx">SQL storm</category><category domain="http://sqlblog.com/blogs/linchi_shea/archive/tags/grid+computing/default.aspx">grid computing</category></item></channel></rss>