TREX : multiple instances

givohra — Fri, 28 Jun 2019 00:38:59 GMT

I understand how to create multiple trex instances but my 4 instances are not sending the same rate of traffic. looks like some cpu/mem allocation issue in multiple instances. How can i make these instances send the same rate at the same time?

Re: TREX : multiple instances

givohra — Tue, 02 Jul 2019 20:14:43 GMT

Found the solution at https://trex-tgn.cisco.com/trex/doc/trex_faq.html

Re: TREX : multiple instances

Anu Radha — Mon, 23 Oct 2023 21:42:44 GMT

I am facing an issue of running multiple streams. Single stream is working fine and I can see the traffic through the network. I am using the below script to send multiple streams with multiple QOS/TOS values and it is not working. Request please to help how to implement multiple streams.

Multiple streams

I want that if one flow is on running , then next flow should be added such a way that previous flow is still running and next flow is added to previous flow , so both flows are running , now if another flow come into existence , then this flow should be added to previous two flow and now three flows are running .

I want to fulfil above condition and right now using latest version of trex .Anyone have a working script pls advise.

from trex_stl_lib.api import *
import argparse

class STLS1(object):

def create_stream (self):

base_pkt = Ether()/IP(src="16.0.0.1",dst="48.0.0.1", tos=0)/UDP(dport=12,sport=1025)
base_pkt2 = Ether()/IP(src="16.0.0.1",dst="48.0.0.1", tos=1)/UDP(dport=12,sport=1025)
pad = 10 * 'x'

return STLProfile( [ STLStream( isg = 1.0, # start in delay in usec
name ='S0',
packet = STLPktBuilder(pkt = base_pkt/pad),
mode = STLTXSingleBurst(total_pkts = 1),
next = 'S2'),

STLStream( self_start = False,
name ='S2',
packet = STLPktBuilder(pkt = base_pkt2/pad),
mode = STLTXSingleBurst(total_pkts = 1))

]).get_streams()

def get_streams (self, tunables, **kwargs):
parser = argparse.ArgumentParser(description='Argparser for {}'.format(os.path.basename(__file__)),
formatter_class=argparse.ArgumentDefaultsHelpFormatter)

args = parser.parse_args(tunables)
# create 1 stream
return self.create_stream()

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TREX : multiple instances

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