 | GangliaGanglia is a scalable distributed monitoring system for high-performance computing systems such as clusters and Grids. |
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Ganglia Description
Ganglia is a scalable distributed monitoring system for high-performance computing systems such as clusters and Grids. Ganglia is a scalable distributed monitoring system for high-performance computing systems such as clusters and Grids. Ganglia 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 over 500 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.What's New in This Release:· A modular metric interface for C and Python (DSO support) and scriptable metric module support with Python.· All pre-existing metrics (CPU, network, disk, memory, etc.) were converted to metric modules.· New metric modules were introduced: multicpu, multidisk, and tcp_conn status.· Modular front-end graph support was added.· Metric groups that can be viewed or hidden as desired were implemented.· Additional scaling capacity was provided for systems with memory greater than 4TB.· Native metric support for Windows was improved (Built with CygWin).
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