Stability windowing

A windowing policy of type stability discards temporal intervals in which a given metric is not stable, and selects, among the remaining intervals, the ones in which another target metric is maximized or minimized. Stability windowing can be sample-based or time-frame based.

The stability windowing has the following structure:

Field Type Value restrictions Is required Default value Description

Field	Type	Value restrictions	Is required	Default value	Description
`type`	string	{stability}	TRUE		The type of windowing.
`stability->metric`	string	It should match the name of an existing metric monitored by AKAMAS	TRUE		The metric whose stability is going to be verified to exclude some temporal intervals over the duration of a trial.
`stability->labels`	set of key-value pairs		FALSE		A set of key-value pairs that represent filtering conditions for retrieving the value of the `metric`. This conditions can be used to consider the right metric of the right component, you can in fact filter by componentName or by other custom properties defined in the components of the system of the study.
`stability->resolution`	string	Valid values are in the form `30s` `40m` `2h` where `s` refers to seconds, `m` to minutes, `h` to hours	FALSE	0s	The temporal resolution at which Akamas aggregate data points to determine feasible windows.
`stability->width`	integer string	`stability->width` > 1 Valid values are in the form `30s` `40m` `2h` as specified in `stability->resolution`	TRUE		The width of temporal intervals over the duration trial which are checked for the stability of the `metric`. Width can be sample-based (integer) or time frame-based (string).
`stability->maxStdDev`	double		TRUE		The stability condition, i.e, the maximum amount of standard deviation among the value of the data point of the metric tolerated for a temporal interval of size `width`, otherwise, the temporal interval will be discarded

type

string

{stability}

TRUE

The type of windowing.

stability->metric

string

It should match the name of an existing metric monitored by AKAMAS

TRUE

The metric whose stability is going to be verified to exclude some temporal intervals over the duration of a trial.

stability->labels

set of key-value pairs

FALSE

A set of key-value pairs that represent filtering conditions for retrieving the value of the metric. This conditions can be used to consider the right metric of the right component, you can in fact filter by componentName or by other custom properties defined in the components of the system of the study.

stability->resolution

string

Valid values are in the form 30s 40m 2h

where s refers to seconds, m to minutes, h to hours

FALSE

The temporal resolution at which Akamas aggregate data points to determine feasible windows.

stability->width

integer string

stability->width > 1 Valid values are in the form 30s 40m 2h as specified in stability->resolution

TRUE

The width of temporal intervals over the duration trial which are checked for the stability of the metric. Width can be sample-based (integer) or time frame-based (string).

stability->maxStdDev

double

TRUE

The stability condition, i.e, the maximum amount of standard deviation among the value of the data point of the metric tolerated for a temporal interval of size width, otherwise, the temporal interval will be discarded

and for the comparison metric section

Field Type Value restrictions Is required Default value Description

Field	Type	Value restrictions	Is required	Description
`metric`	string	It should match the name of an existing metric monitored by Akamas	TRUE	The metric whose value is analyzed to include or exclude temporal intervals over the duration of a trial, when another reference metric is stable.
`labels`	set of key-value pairs		FALSE	A set of key-value pairs that represent filtering conditions for retrieving the value of the `metric`. This conditions can be used to consider the right metric of the right component, you can in fact filter by componentName or by other custom properties defined in the components of the system of the study.
`is`	string	{min,max}	TRUE	If the value of the metric should be maximum or minimum to include or exclude temporal intervals over the duration of a trial when another reference metric is stable.

metric

string

It should match the name of an existing metric monitored by Akamas

TRUE

The metric whose value is analyzed to include or exclude temporal intervals over the duration of a trial, when another reference metric is stable.

labels

set of key-value pairs

FALSE

is

string

{min,max}

TRUE

If the value of the metric should be maximum or minimum to include or exclude temporal intervals over the duration of a trial when another reference metric is stable.

Example

The following fragment is an example of stability windowing (time-frame based):

type: stability
stability:
  metric: throughput
  labels:
    componentName: DB
  resolution: "30s"
  width: 10
  maxStdDev: .6
  # Comparison metric section
  when:
    metric: response_time
    labels:
      componentName: FE
    is: min

Last updated 1 year ago