Monitoring computational clusters with OVIS.

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Description

Traditional cluster monitoring approaches consider nodes in singleton, using manufacturer-specified extreme limits as thresholds for failure ''prediction''. 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 from 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 an easy and useful method for tuning cluster configuration ... continued below

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57 p.

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Gentile, Ann C.; Brandt, James M.; Wong, M. H. & Pebay, Philippe Pierre December 1, 2006.

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Description

Traditional cluster monitoring approaches consider nodes in singleton, using manufacturer-specified extreme limits as thresholds for failure ''prediction''. 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 from 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 an easy and useful method for tuning cluster configuration and determining effects of real-time changes.

Physical Description

57 p.

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  • Report No.: SAND2006-7939
  • Grant Number: AC04-94AL85000
  • DOI: 10.2172/899078 | External Link
  • Office of Scientific & Technical Information Report Number: 899078
  • Archival Resource Key: ark:/67531/metadc890595

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Office of Scientific & Technical Information Technical Reports

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  • December 1, 2006

Added to The UNT Digital Library

  • Sept. 22, 2016, 2:13 a.m.

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  • Nov. 29, 2016, 8:30 p.m.

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Gentile, Ann C.; Brandt, James M.; Wong, M. H. & Pebay, Philippe Pierre. Monitoring computational clusters with OVIS., report, December 1, 2006; United States. (digital.library.unt.edu/ark:/67531/metadc890595/: accessed December 13, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.