Wide Area Cluster Monitoring with Ganglia

نویسندگان

  • Federico D. Sacerdoti
  • Mason J. Katz
  • Matthew L. Massie
  • David E. Culler
چکیده

In this paper, we present a structure for monitoring a large set of computational clusters. We illustrate methods for scaling a monitor network comprised of many clusters while keeping processing requirements low. A design for presenting high-level web-based summaries of the monitor network is provided, along with a generalization to a distributed, multipleresolution monitoring tree. Emphasis is placed on scalability, fast query response, fault tolerance, and grid compatibility. Experimental evidence is presented that demonstrates the performance of our design.

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تاریخ انتشار 2003