Hi:
I have been using the "ofctl_rest" RYU application and adding and modifying
flows via REST interface (I'm using pycurl)
Here's my python script, basically, it just updates the PYCURL string with new
IP's and continuously PUSH it to the RYU's REST interface.
c = pycurl.Curl()
c.setopt(c.URL, 'http://%s:8080/stats/flowentry/%s' % (controller,command))
c.setopt(c.TIMEOUT, 5)
c.setopt(c.POSTFIELDS, data)
for x in range(0, (no_of_ips)):
ip_str = '%d.%d.%d.%d' % ((ip+x) >> 24,
(ip+x) >> 16 & 0x00FF,
(ip+x) >> 8 & 0x0000FF,
(ip+x) & 0x000000FF)
table1['match']['nw_dst'] = '%s/32' % ip_str
table1['cookie'] = str(cookie + x)
table1['match']['metadata'] = str(meta)
table1['metadata'] = str(metadata)
data = json.dumps(table1)
c.perform()
However, I'm noticing a peak performance of 800 flow add/mods per second, vs
the 2500 flow add/mods per second I get by just using the OpenFlow interface
alone.
Looking at the consumption, it seems RYU controller is very busy copying
messages from the REST interface to the Openflow interface (I understand
there's more than just copy)
Tasks: 213 total, 2 running, 207 sleeping, 0 stopped, 4 zombie
Cpu0 : 94.0%us, 4.3%sy, 0.0%ni, 0.3%id, 0.0%wa, 0.0%hi, 1.3%si, 0.0%st
Cpu1 : 4.9%us, 1.3%sy, 0.0%ni, 92.5%id, 0.0%wa, 0.0%hi, 1.3%si, 0.0%st
Cpu2 : 4.7%us, 3.4%sy, 0.0%ni, 91.2%id, 0.0%wa, 0.0%hi, 0.7%si, 0.0%st
Cpu3 : 0.0%us, 0.0%sy, 0.0%ni,100.0%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st
Mem: 12242968k total, 7894340k used, 4348628k free, 416328k buffers
Swap: 12517372k total, 0k used, 12517372k free, 6147564k cached
PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND
26957 tester 20 0 106m 22m 3708 R 99 0.2 15:37.12 ryu-manager
My current device does not support wildcard, so I must add/mod large amount of
flows one flow entry at a time. Is it possible to:
1) Improve the RYU REST API performance in the future, for example,
instead of invoking an event for every message, a method to add a group of
flows and generate 1 event for N flows.
2) Make RYU multi-threaded to improve performance for high flow operations
Much Thanks
Morgan Yang
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