performance-docs/doc/source/test_results/reliability/fuel_ccp/reports/neutron/create_and_list_networks_with_kill_mysql_service_on_one_node/index.rst

Create and list networks with kill of one of MySQL servers

This report is generated on results collected by execution of the following Rally scenario:

---
{% set repeat = repeat|default(3) %}
  NeutronNetworks.create_and_list_networks:
{% for iteration in range(repeat) %}
    -
      args:
        network_create_args: {}
      runner:
        type: "constant_for_duration"
        duration: 90
        concurrency: 4
      context:
        users:
          tenants: 1
          users_per_tenant: 1
        quotas:
          neutron:
            network: -1
      hooks:
        -
          name: fault_injection
          args:
            action: kill mysql service on one node
          trigger:
            name: event
            args:
              unit: iteration
              at: [100]
{% endfor %}

Summary

Service downtime, s	MTTR, s	Absolute performance degradation, s	Relative performance degradation, ratio
N/A	13.0 ±2.3	2.50 ±0.72	6.4 ±1.3

Metrics:

• Service downtime is the time interval between the first and the last errors.
• MTTR is the mean time to recover service performance after the fault.
• Absolute performance degradation is an absolute difference between the mean of operation duration during recovery period and the baseline's.
• Relative performance degradation is the ratio between the mean of operation duration during recovery period and the baseline's.

Details

This section contains individual data for particular scenario runs.

Run #1

Baseline

Baseline samples are collected before the start of fault injection. They are used to estimate service performance degradation after the fault.

Samples	Median, s	Mean, s	Std dev	95% percentile, s
85	0.49	0.53	0.16	0.84

Service performance degradation

The tested service has measurable performance degradation during the following time period(s).

#	Time to recover, s	Absolute degradation, s	Relative degradation
1	8.59 ±0.13	1.4 ±1.2	3.7 ±2.2
2	2.106 ±0.010	0.61 ±0.12	2.15 ±0.22
3	4.077 ±0.018	0.72 ±0.21	2.37 ±0.40

Run #2

Baseline

Baseline samples are collected before the start of fault injection. They are used to estimate service performance degradation after the fault.

Samples	Median, s	Mean, s	Std dev	95% percentile, s
85	0.64	0.64	0.2	1

Service performance degradation

The tested service has measurable performance degradation during the following time period(s).

#	Time to recover, s	Absolute degradation, s	Relative degradation
1	7.55 ±0.12	2.4 ±1.6	4.7 ±2.5

Run #3

Baseline

Baseline samples are collected before the start of fault injection. They are used to estimate service performance degradation after the fault.

Samples	Median, s	Mean, s	Std dev	95% percentile, s
85	0.47	0.54	0.18	0.83

Service performance degradation

The tested service has measurable performance degradation during the following time period(s).

#	Time to recover, s	Absolute degradation, s	Relative degradation
1	10.11 ±0.13	1.5 ±1.1	3.8 ±2.0
2	6.447 ±0.015	0.87 ±0.10	2.60 ±0.19