An approach to cluster system task flow monitoring, analysis, and visualization

Authors

Keywords:

parallel computing, monitoring, tasks flow, computing cluster

Abstract

Big cluster systems are spreading wide, so that the efficiency of use of such systems is a very actual task for now. In order to solve this task, it is needed to identify the efficiency problems appearing during the task execution, to notify users about appeared problems, and to suggest possible ways to resolve them. This can be achieved by the continuous monitoring of running tasks and by data analysis. This paper discusses an approach to solve these tasks and describes a working prototype.

Author Biographies

A.V. Adinetz

Lomonosov Moscow State University,
Research Computing Center
• Junior Researcher

P.A. Bryzgalov

Lomonosov Moscow State University,
Research Computing Center
• Researcher

Vad.V. Voevodin

Lomonosov Moscow State University,
Research Computing Center
• Junior Researcher

S.A. Zhumatiy

Lomonosov Moscow State University,
Research Computing Center
• Senior Researcher

D.A. Nikitenko

Lomonosov Moscow State University,
Research Computing Center
• Junior Researcher

References

  1. Hewitt E. Cassandra: the definitive guide. Cambridge: O’Reilly Media, 2010.
  2. White T. Hadoop: the definitive guide. Cambridge: O’Reilly Media, 2009.
  3. Pig project (http://pig.apache.org/).
New computational technologies

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Published

10-11-2011

How to Cite

Адинец А., Брызгалов П., Воеводин В., Жуматий С., Никитенко Д. An Approach to Cluster System Task Flow Monitoring, Analysis, and Visualization // Numerical Methods and Programming (Vychislitel’nye Metody i Programmirovanie). 2011. 12. 90-93

Issue

Vol. 12 (2011): Issue 4.

Section

Section 2. Programming

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