1 AUTHOR = "kdlucas (a] google.com (Kelly Lucas)" 2 TIME = "MEDIUM" 3 NAME = "Netpipe Stress" 4 TEST_CATEGORY = "Stress" 5 TEST_CLASS = 'Network' 6 TEST_TYPE = "Server" 7 SYNC_COUNT = 2 8 DOC = """ 9 netpipe_stress is a test which produces bandwidth and latency values for 10 incrementing buffer sizes. This stress test will run for approximately 1 hour. 11 If you need to adjust the run time, change the value of cycles in the run 12 function. 13 14 Arguments to run_test: 15 bidirectional - indicates whether the test should run simultaneously in both 16 directions 17 buffer_size - Sets the send and receive TCP buffer sizes (from man NPtcp) 18 upper_bound - Specify the upper boundary to the size of message being tested. 19 By default, NetPIPE will stop when the time to transmit a block 20 exceeds one second. (from man NPtcp) 21 variance - NetPIPE chooses the message sizes at regular intervals, 22 increasing them exponentially from the lower boundary to the 23 upper boundary. At each point, it also tests perturbations of 3 24 bytes above and 3 bytes below (default) each test point to find 25 idiosyncrasies in the system. This perturbation value can be 26 changed using using this option or turned off by setting 27 perturbation_size to 0. (from man NPtcp) 28 cycles - Number of times to repeat each test. Each cycle takes about 6 29 minutes to complete. 30 """ 31 32 from autotest_lib.server import utils 33 34 # Buffer sizes should not be less than 131072, as this will cause netpipe 35 # to hang. 36 buffer_sizes = {131072: 'small', 37 262144: 'medium', 38 524288: 'large', 39 1048576: 'huge', 40 } 41 cycles = 10 42 upper_bound = 1048576 43 variance = 17 44 45 def run(pair): 46 for x in xrange(cycles): 47 for b in buffer_sizes: 48 tag = 'netpipe' + buffer_sizes[b] + str(x) 49 job.run_test('netpipe', tag=tag, pair=pair, buffer=b, 50 upper_bound=upper_bound, variance=variance) 51 52 53 # grab the pairs (and failures) 54 print "Machines = %s" % machines 55 (pairs, failures) = utils.form_ntuples_from_machines(machines, 2) 56 print "pairs = %s" % pairs 57 58 # log the failures 59 for failure in failures: 60 job.record("FAIL", failure[0], "netpipe", failure[1]) 61 62 # now run through each pair and run 63 job.parallel_simple(run, pairs, log=False) 64