
1. Add to return the counters of socket timeout; 2. Bugfixes on kb_gen_chart.py; 3. Create testing and tested kloud parallelly; Change-Id: Ie67bcc3c7a4375a885a478352b0c04731b2aca75
190 lines
8.1 KiB
Python
190 lines
8.1 KiB
Python
# Copyright 2015 Cisco Systems, Inc. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License"); you may
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# not use this file except in compliance with the License. You may obtain
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# a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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# License for the specific language governing permissions and limitations
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# under the License.
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#
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import abc
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import log as logging
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LOG = logging.getLogger(__name__)
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# A base class for all tools that can be associated to an instance
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class PerfTool(object):
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__metaclass__ = abc.ABCMeta
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def __init__(self, instance, tool_cfg):
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self.name = tool_cfg.name
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self.instance = instance
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self.dest_path = tool_cfg.dest_path
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self.pid = None
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# Terminate pid if started
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def dispose(self):
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if self.pid:
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# Terminate the iperf server
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LOG.kbdebug("[%s] Terminating %s" % (self.instance.vm_name,
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self.name))
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self.instance.ssh.kill_proc(self.pid)
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self.pid = None
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def parse_error(self, msg):
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return {'error': msg, 'tool': self.name}
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def parse_results(self, protocol=None, throughput=None, lossrate=None, retrans=None,
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rtt_ms=None, reverse_dir=False, msg_size=None, cpu_load=None,
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http_total_req=None, http_rps=None, http_tp_kbytes=None,
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http_sock_err=None, http_sock_timeout=None, http_err=None,
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latency_stats=None):
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res = {'tool': self.name}
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if throughput is not None:
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res['throughput_kbps'] = throughput
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if protocol is not None:
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res['protocol'] = protocol
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if 'vm_bandwidth' in self.instance.config:
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res['bandwidth_limit_kbps'] = self.instance.config.vm_bandwidth
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if lossrate is not None:
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res['loss_rate'] = lossrate
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if retrans:
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res['retrans'] = retrans
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if rtt_ms:
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res['rtt_ms'] = rtt_ms
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if reverse_dir:
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res['direction'] = 'reverse'
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if msg_size:
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res['pkt_size'] = msg_size
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if cpu_load:
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res['cpu_load'] = cpu_load
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if http_total_req:
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res['http_total_req'] = http_total_req
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if http_rps:
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res['http_rps'] = http_rps
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if http_tp_kbytes:
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res['http_throughput_kbytes'] = http_tp_kbytes
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if http_sock_err:
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res['http_sock_err'] = http_sock_err
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if http_sock_timeout:
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res['http_sock_timeout'] = http_sock_timeout
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if http_err:
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res['http_err'] = http_err
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if latency_stats:
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res['latency_stats'] = latency_stats
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return res
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@abc.abstractmethod
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def cmd_run_client(**kwargs):
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# must be implemented by sub classes
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return None
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@abc.abstractmethod
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def cmd_parser_run_client(self, status, stdout, stderr):
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# must be implemented by sub classes
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return None
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@staticmethod
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@abc.abstractmethod
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def consolidate_results(results):
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# must be implemented by sub classes
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return None
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def find_udp_bdw(self, pkt_size, target_ip):
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'''Find highest UDP bandwidth within max loss rate for given packet size
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:return: a dictionary describing the optimal bandwidth (see parse_results())
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'''
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# we use a binary search to converge to the optimal throughput
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# start with 5Gbps - mid-range between 1 and 10Gbps
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# Convergence can be *very* tricky because UDP throughput behavior
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# can vary dramatically between host runs and guest runs.
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# The packet rate limitation is going to dictate the effective
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# send rate, meaning that small packet sizes will yield the worst
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# throughput.
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# The measured throughput can be vastly smaller than the requested
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# throughput even when the loss rate is zero when the sender cannot
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# send fast enough to fill the network, in that case increasing the
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# requested rate will not make it any better
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# Examples:
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# 1. too much difference between requested/measured bw - regardless of loss rate
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# => retry with bw mid-way between the requested bw and the measured bw
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# /tmp/nuttcp-7.3.2 -T2 -u -l128 -R5000000K -p5001 -P5002 -fparse 192.168.1.2
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# megabytes=36.9785 real_seconds=2.00 rate_Mbps=154.8474 tx_cpu=23 rx_cpu=32
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# drop=78149 pkt=381077 data_loss=20.50746
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# /tmp/nuttcp-7.3.2 -T2 -u -l128 -R2500001K -p5001 -P5002 -fparse 192.168.1.2
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# megabytes=47.8063 real_seconds=2.00 rate_Mbps=200.2801 tx_cpu=24 rx_cpu=34
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# drop=0 pkt=391629 data_loss=0.00000
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# 2. measured and requested bw are very close :
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# if loss_rate is too low
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# increase bw mid-way between requested and last max bw
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# if loss rate is too high
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# decrease bw mid-way between the measured bw and the last min bw
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# else stop iteration (converged)
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# /tmp/nuttcp-7.3.2 -T2 -u -l8192 -R859376K -p5001 -P5002 -fparse 192.168.1.2
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# megabytes=204.8906 real_seconds=2.00 rate_Mbps=859.2992 tx_cpu=99 rx_cpu=10
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# drop=0 pkt=26226 data_loss=0.00000
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min_kbps = 1
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max_kbps = 10000000
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kbps = 5000000
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min_loss_rate = self.instance.config.udp_loss_rate_range[0]
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max_loss_rate = self.instance.config.udp_loss_rate_range[1]
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# stop if the remaining range to cover is less than 5%
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while (min_kbps * 100 / max_kbps) < 95:
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res_list = self.run_client_dir(target_ip, 0, bandwidth_kbps=kbps,
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udp=True, length=pkt_size,
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no_cpu_timed=1)
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# always pick the first element in the returned list of dict(s)
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# should normally only have 1 element
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res = res_list[0]
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if 'error' in res:
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return res
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loss_rate = res['loss_rate']
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measured_kbps = res['throughput_kbps']
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LOG.kbdebug(
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"[%s] pkt-size=%d throughput=%d<%d/%d<%d Kbps loss-rate=%d" %
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(self.instance.vm_name, pkt_size, min_kbps, measured_kbps,
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kbps, max_kbps, loss_rate))
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# expected rate must be at least 80% of the requested rate
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if (measured_kbps * 100 / kbps) < 80:
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# the measured bw is too far away from the requested bw
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# take half the distance or 3x the measured bw whichever is lowest
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kbps = measured_kbps + (kbps - measured_kbps) / 2
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if measured_kbps:
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kbps = min(kbps, measured_kbps * 3)
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max_kbps = kbps
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continue
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# The measured bw is within striking distance from the requested bw
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# increase bw if loss rate is too small
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if loss_rate < min_loss_rate:
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# undershot
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if measured_kbps > min_kbps:
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min_kbps = measured_kbps
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else:
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# to make forward progress we need to increase min_kbps
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# and try a higher bw since the loss rate is too low
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min_kbps = int((max_kbps + min_kbps) / 2)
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kbps = int((max_kbps + min_kbps) / 2)
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# LOG.info(" undershot, min=%d kbps=%d max=%d" % (min_kbps, kbps, max_kbps))
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elif loss_rate > max_loss_rate:
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# overshot
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max_kbps = kbps
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if measured_kbps < kbps:
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kbps = measured_kbps
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else:
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kbps = int((max_kbps + min_kbps) / 2)
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# LOG.info(" overshot, min=%d kbps=%d max=%d" % (min_kbps, kbps, max_kbps))
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else:
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# converged within loss rate bracket
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break
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return res
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