A Monitoring Sensor Management System for Grid Environments

  • Authors:
  • Brian Tierney;Brian Crowley;Dan Gunter;Jason Lee;Mary Thompson

  • Affiliations:
  • Computing Sciences Directorate, Lawrence Berkeley National Laboratory, University of California, Berkeley, CA 94720, USA;Computing Sciences Directorate, Lawrence Berkeley National Laboratory, University of California, Berkeley, CA 94720, USA;Computing Sciences Directorate, Lawrence Berkeley National Laboratory, University of California, Berkeley, CA 94720, USA;Computing Sciences Directorate, Lawrence Berkeley National Laboratory, University of California, Berkeley, CA 94720, USA;Computing Sciences Directorate, Lawrence Berkeley National Laboratory, University of California, Berkeley, CA 94720, USA

  • Venue:
  • Cluster Computing
  • Year:
  • 2001

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Abstract

Large distributed systems such as Computational Grids require a large amount of monitoring data be collected for a variety of tasks such as fault detection, performance analysis, performance tuning, performance prediction, and scheduling. Ensuring that all necessary monitoring is turned on and that data is being collected can be a very tedious and error-prone task. We have developed an agent-based system to automate the execution of monitoring sensors and the collection of event data.