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A Tool for Intelligent, Real-time Monitoring of Computational Clusters.

Traditional cluster monitoring approaches consider nodes in singleton, using manufacturer-specified extreme limits as thresholds to avoid failure. We have developed a tool, OVIS, for monitoring and analysis of large computational platforms which, instead, uses a statistical approach to characterize single device behaviors for those of a large number of statistically similar devices.

Baseline capabilities of OVIS include the visual display of deterministic information about state variables (e.g., temperature CPU utilization, fan speed) and their aggregate statistics. Visual consideration of the cluster as a comparative ensemble, rather than as singleton nodes, is a convenient and useful method for tuning cluster set-up and determining the effects of real-time changes in the cluster configuration and its environment.

An additional
Interface: Graphical
Associated Programs
Ganglia cluster monitoring toolkit - node daemon
Rating: Not Rated (0 votes)

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