DGMonitor: A Performance Monitoring Tool for Sandbox-Based Desktop Grid Platforms

  • Authors:

  • P. Cicotti;M. Taufer;Andrew A. Chien

  • Affiliations:

  • Department of Computer Scince and Engineering, University of California, San Diego, La Jolla, U.S. 92093;Aff1 Aff2 Aff3;Department of Computer Scince and Engineering, University of California, San Diego, La Jolla, U.S. 92093

  • Venue:
  • The Journal of Supercomputing
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

Abstract

Accurate, continuous resource monitoring and profiling are critical for enabling performance tuning and scheduling optimization. In desktop grid systems that employ sandboxing, these issues are challenging because (1) subjobs inside sandboxes are executed in a virtual computing environment and (2) the state of this virtual environment within the sandboxes is reset to an initial empty state after a subjob completion.DGMonitor is a monitoring tool which builds a global, accurate, and continuous view of real resource utilization for desktop grids with sandboxing. Our monitoring tool measures performance unobtrusively and reliably, uses a simple performance data model, and is easy to use. Our measurements demonstrate that DGMonitor can scale to large desktop grids (up to 12000 PCs) with low monitoring overhead in terms of resource consumption (less than 0.1% per machine).Though we originally developed DGMonitor with the Entropia DCGrid platform, our tool is easily portable and integrated into other desktop grid systems. In all of these systems, DGMonitor data can support existing and novel information services, particularly for performance tuning and scheduling. In this paper, the high scalability and monitoring power of DGMonitor are demonstrated with the Entropia DCGrid platform and the BOINC platform respectively.