The MAGNeT Toolkit: Design, Implementation and Evaluation

  • Authors:
  • Wu-Chun Feng;Mark K. Gardner;Jeffrey R. Hay

  • Affiliations:
  • Computer & Computational Sciences Division, Los Alamos National Laboratory, Los Alamos, NM 87545, and Department of Computer & Information Science, Ohio State University, Columbus, OH 4321 ...;Computer & Computational Sciences Division, Los Alamos National Laboratory, Los Alamos, NM 87545 mkg@lanl.gov;Computer & Computational Sciences Division, Los Alamos National Laboratory, Los Alamos, NM 87545 jrhay@lanl.gov

  • Venue:
  • The Journal of Supercomputing
  • Year:
  • 2002

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Abstract

The current trend in constructing high-performance computing systems is to connect a large number of machines via a fast interconnect or a large-scale network such as the Internet. This approach relies on the performance of the interconnect (or Internet) to enable fast, large-scale distributed computing. A detailed understanding of the communication traffic is required in order to optimize the operation of the entire system.Network researchers traditionally monitor traffic in the network to gain the insight necessary to optimize network operations. Recent work suggests additional insight can be obtained by also monitoring traffic at the application level.The Monitor for Application-Generated Network Traffic toolkit (MAGNeT) we describe here monitors application traffic patterns in production systems, thus enabling more highly optimized networks and interconnects for the next generation of high-performance computing systems.