The algorithms used in revision 2 (not BETA or earlier)
to measure available bandwidth are non intrusive and accurate
(not estimative). The algorithms also can estimate the cross traffic,
thus computing the physical bandwidth (capacity) of the bottleneck link (not the
narrow link). This has been proved in mathematics <2002-12-08>.
See results from emulation network .
The usage for measuring available bandwidth is:
Notice that to measure bandwidths requires a certain condition. If two end hosts do not meet measurement condition, only achievable throughput can be measured.
Netest is in the latest test of revision 2. It has be named back to netest from netest-2 (the Alpha release). Netest version 1 (named to netest-1) has many options for analyzing different problems. However, it has too many options to be used by average users. Netest version 2 has been simplified for all users with or without network knowledge. Netest can be run without any parameters and do all testing automatically. The revision 2 also has all original (version 1) features that can be used at command line, plus parallel FTP function (unimplemented yet).
netest is an end-to-end network analysis tool. It needs to run on both ends of measured network path, one server and one or more clients. Generally, this test runs about 1 minute when the network condition is healthy. It may take longer if the network has some type of problems.
To start a server: netest To run a client in auto mode: netest -t $server [-abw] -abw only measure available bandwidth or run a client in manual mode (like netest-1/ttcp/iperf): netest -t $server -tl test_iteration -tcp [-win ######] | -udp \ [-n num_packets] [-S pause_time] [-nps #]
How to read and interpret netest output. Netest output from default (AUTO) mode Netest output from -abw (available bandwidth) mode
Credits: The research and development of the Distributed Systems Department is funded by the U.S. Dept. of Energy, Office of Science, Office of Advanced Scientific Computing Research, Mathematical, Information, and Computational Sciences Division
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This page last modified: Wednesday, 02-Jul-2003 13:00:00 PDT
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