[Lunar-commits] CVS: moonbase/distributed/ganglia DETAILS,1.1,1.2
Auke Kok
sofar at lunar-linux.org
Wed Feb 25 09:22:47 GMT 2004
Update of /var/cvs/lunar/moonbase/distributed/ganglia
In directory dbguin.lunar-linux.org:/tmp/cvs-serv15770
Modified Files:
DETAILS
Log Message:
Sorry about that... I must have been in a hurry ;^)
Index: DETAILS
===================================================================
RCS file: /var/cvs/lunar/moonbase/distributed/ganglia/DETAILS,v
retrieving revision 1.1
retrieving revision 1.2
diff -u -d -r1.1 -r1.2
--- DETAILS 17 Feb 2004 16:38:39 -0000 1.1
+++ DETAILS 25 Feb 2004 09:22:45 -0000 1.2
@@ -3,11 +3,25 @@
SOURCE=$MODULE-monitor-core-$VERSION.tar.gz
SOURCE_DIRECTORY=$BUILD_DIRECTORY/$MODULE-monitor-core-$VERSION
SOURCE_URL=$SFORGE_URL/$MODULE/$SOURCE
-# SOURCE_VFY=md5:34c465416f261b980db46a9df6d66c75
- WEB_SITE=http://distcc.samba.org/
+ SOURCE_VFY=51b0066369063fdbfd7073fe4f443340
+ WEB_SITE=http://ganglia.sourceforge.net/
ENTERED=20040216
UPDATED=20040216
- SHORT=""
+ SHORT="A cluster monitoring toolkit"
cat << EOF
+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 relies on a multicast-based
+listen/announce protocol to monitor state within clusters and uses a tree
+of point-to-point connections amongst representative cluster nodes to
+federate clusters and aggregate their state. 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.
EOF
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