The ganglia distributed monitoring system: design, implementation, and experience

✍ Scribed by Matthew L Massie; Brent N Chun; David E Culler

• Publisher: Elsevier Science
• Year: 2004
• Tongue: English
• Weight: 356 KB
• Volume: 30
• Category: Article
• ISSN: 0167-8191
• DOI: 10.1016/j.parco.2004.04.001

✦ Synopsis

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. This paper presents the design, implementation, and evaluation of Ganglia along with experience gained through real world deployments on systems of widely varying scale, configurations, and target application domains over the last two and a half years.