Ganglia

Posted by Matt Massie in FYI on November 9, 2005 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 tr... ansport, 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 BSD-licensed open-source project that grew out of the University of California, Berkeley Millennium Project which was initially funded in large part by the National Partnership for Advanced Computational Infrastructure (NPACI) and National Science Foundation RI Award EIA-9802069. NPACI is funded by the National Science Foundation and strives to advance science by creating a ubiquitous, continuous, and pervasive national computational infrastructure: the Grid. Current support comes from Planet Lab : an open platform for developing, deploying, and accessing planetary-scale services. Posted by Matt Massie in Uncategorized on March 7, 2018 SourceForge updated their infrastructure and we missed the email explaining how to prevent downtime. Everything should be back to normal now. Sorry for the inconvenience. and the mentoring team consists of Rajat Phull, Bernard Li, Nick Satterly, Robert Kovacs and Daniel Pocock. The whole Ganglia community congratulates the students on their selection for GSoC this year and is very excited about working with them. We would also like to thank OReilly for generously providing the GSoC students with copies of the book Monitoring with Ganglia ...Read More