Ganglia - Revision history

Donsez: /* Install on Mac OS X */

2014-10-04T19:06:25Z

Install on Mac OS X

← Older revision		Revision as of 19:06, 4 October 2014
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	=Install on Mac OS X=		=Install on Mac OS X=
	* http://fanguangle.blogspot.fr/2012/09/ganglia-setup-on-mac-osx.html		* http://fanguangle.blogspot.fr/2012/09/ganglia-setup-on-mac-osx.html
			* http://yutianxb.com/install-ganglia-monitoring-system-from-scratch/

Donsez at 19:05, 4 October 2014

2014-10-04T19:05:49Z

← Older revision		Revision as of 19:05, 4 October 2014
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	Book: [http://shop.oreilly.com/product/0636920025573.doMatt Massie, Bernard Li, Brad Nicholes, Vladimir Vuksan, Robert Alexander, Jeff Buchbinder, Frederiko Costa, Alex Dean, Dave Josephsen, Peter Phaal, Daniel Pocock, Monitoring with Ganglia, Tracking Dynamic Host and Application Metrics at Scale, O'Reilly Media, November 2012]		Book: [http://shop.oreilly.com/product/0636920025573.doMatt Massie, Bernard Li, Brad Nicholes, Vladimir Vuksan, Robert Alexander, Jeff Buchbinder, Frederiko Costa, Alex Dean, Dave Josephsen, Peter Phaal, Daniel Pocock, Monitoring with Ganglia, Tracking Dynamic Host and Application Metrics at Scale, O'Reilly Media, November 2012]

			=Install on Mac OS X=
			* http://fanguangle.blogspot.fr/2012/09/ganglia-setup-on-mac-osx.html

Donsez at 16:20, 4 October 2014

2014-10-04T16:20:10Z

← Older revision		Revision as of 16:20, 4 October 2014
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	'Ganglia is a scalable distributed monitoring system for high-performance computing systems such as clusters and Grids. It is based on a hierarchical design targeted at federations of clusters. It leverages widely used technologies such as XML for data representation, XDR for compact, portable data transport, and RRDtool for data storage and visualization. It uses carefully engineered data structures and algorithms to achieve very low per-node overheads and high concurrency. The implementation is robust, has been ported to an extensive set of operating systems and processor architectures, and is currently in use on thousands of clusters around the world. It has been used to link clusters across university campuses and around the world and can scale to handle clusters with 2000 nodes.'		'Ganglia is a scalable distributed monitoring system for high-performance computing systems such as clusters and Grids. It is based on a hierarchical design targeted at federations of clusters. It leverages widely used technologies such as XML for data representation, XDR for compact, portable data transport, and RRDtool for data storage and visualization. It uses carefully engineered data structures and algorithms to achieve very low per-node overheads and high concurrency. The implementation is robust, has been ported to an extensive set of operating systems and processor architectures, and is currently in use on thousands of clusters around the world. It has been used to link clusters across university campuses and around the world and can scale to handle clusters with 2000 nodes.'

			Book: [http://shop.oreilly.com/product/0636920025573.doMatt Massie, Bernard Li, Brad Nicholes, Vladimir Vuksan, Robert Alexander, Jeff Buchbinder, Frederiko Costa, Alex Dean, Dave Josephsen, Peter Phaal, Daniel Pocock, Monitoring with Ganglia, Tracking Dynamic Host and Application Metrics at Scale, O'Reilly Media, November 2012]

Donsez: Created page with "http://ganglia.sourceforge.net/ 'Ganglia is a scalable distributed monitoring system for high-performance computing systems such as clusters and Grids. It is based on a hiera..."

2014-10-03T13:57:50Z

Created page with "http://ganglia.sourceforge.net/ 'Ganglia is a scalable distributed monitoring system for high-performance computing systems such as clusters and Grids. It is based on a hiera..."

New page

http://ganglia.sourceforge.net/

'Ganglia is a scalable distributed monitoring system for high-performance computing systems such as clusters and Grids. It is based on a hierarchical design targeted at federations of clusters. It leverages widely used technologies such as XML for data representation, XDR for compact, portable data transport, and RRDtool for data storage and visualization. It uses carefully engineered data structures and algorithms to achieve very low per-node overheads and high concurrency. The implementation is robust, has been ported to an extensive set of operating systems and processor architectures, and is currently in use on thousands of clusters around the world. It has been used to link clusters across university campuses and around the world and can scale to handle clusters with 2000 nodes.'