Class: Baseline

Describes the baseline or expected behavior of a system, service, or component

based on historical observations and measurements. It establishes reference

points for comparison to detect anomalies, trends, and deviations from typical

patterns.

 classDiagram
    class Baseline
    click Baseline href "../Baseline/"
      Object <|-- Baseline
        click Object href "../Object/"

      Baseline : observation_parameter

      Baseline : observation_type

      Baseline : observations





        Baseline --> "1..*" Observation : observations
        click Observation href "../Observation/"



      Baseline : observed_pattern

Inheritance

OcsfObject
- Object
  - Baseline

Slots

Name	Cardinality and Range	Description	Inheritance
observation_parameter	1 String	The specific parameter or property being monitored	direct
observation_type	0..1 recommended String	The type of analysis being performed to establish baseline behavior	direct
observations	1..* Observation	Collection of actual measured values, data points and observations recorded f...	direct
observed_pattern	0..1 recommended String	The specific pattern identified within the observation type	direct

Usages

used by	used in	type	used
AnomalyAnalysis	baselines	range	Baseline

In Subsets

objects_subset

Aliases

Baseline

Identifier and Mapping Information

Schema Source

from schema: https://w3id.org/lmodel/ocsf

Mappings

Mapping Type	Mapped Value
self	ocsf:Baseline
native	ocsf:Baseline

LinkML Source

Direct

name: Baseline
description: 'Describes the baseline or expected behavior of a system, service, or
  component

  based on historical observations and measurements. It establishes reference

  points for comparison to detect anomalies, trends, and deviations from typical

  patterns.'
in_subset:
- objects_subset
from_schema: https://w3id.org/lmodel/ocsf
aliases:
- Baseline
is_a: Object
slots:
- observation_parameter
- observation_type
- observations
- observed_pattern
slot_usage:
  observation_parameter:
    name: observation_parameter
    description: 'The specific parameter or property being monitored. Examples include:
      CPU usage

      percentage, API response time in milliseconds, HTTP error rate, memory

      utilization, network latency, transaction volume, etc.'
    required: true
  observation_type:
    name: observation_type
    description: 'The type of analysis being performed to establish baseline behavior.
      Common

      types include: Frequency Analysis, Time Pattern Analysis, Volume Analysis,

      Sequence Analysis, Distribution Analysis, etc.'
    recommended: true
  observations:
    name: observations
    description: 'Collection of actual measured values, data points and observations
      recorded for

      this baseline.'
    required: true
  observed_pattern:
    name: observed_pattern
    description: 'The specific pattern identified within the observation type. For
      Frequency

      Analysis, this could be ''FREQUENT'', ''INFREQUENT'', ''RARE'', or ''UNSEEN''.
      For Time

      Pattern Analysis, this could be ''BUSINESS_HOURS'', ''OFF_HOURS'', or

      ''UNUSUAL_TIME''. For Volume Analysis, this could be ''NORMAL_VOLUME'',

      ''HIGH_VOLUME'', or ''SURGE''. The pattern values are specific to each observation

      type and indicate the baseline behavior.'
    recommended: true

Induced

name: Baseline
description: 'Describes the baseline or expected behavior of a system, service, or
  component

  based on historical observations and measurements. It establishes reference

  points for comparison to detect anomalies, trends, and deviations from typical

  patterns.'
in_subset:
- objects_subset
from_schema: https://w3id.org/lmodel/ocsf
aliases:
- Baseline
is_a: Object
slot_usage:
  observation_parameter:
    name: observation_parameter
    description: 'The specific parameter or property being monitored. Examples include:
      CPU usage

      percentage, API response time in milliseconds, HTTP error rate, memory

      utilization, network latency, transaction volume, etc.'
    required: true
  observation_type:
    name: observation_type
    description: 'The type of analysis being performed to establish baseline behavior.
      Common

      types include: Frequency Analysis, Time Pattern Analysis, Volume Analysis,

      Sequence Analysis, Distribution Analysis, etc.'
    recommended: true
  observations:
    name: observations
    description: 'Collection of actual measured values, data points and observations
      recorded for

      this baseline.'
    required: true
  observed_pattern:
    name: observed_pattern
    description: 'The specific pattern identified within the observation type. For
      Frequency

      Analysis, this could be ''FREQUENT'', ''INFREQUENT'', ''RARE'', or ''UNSEEN''.
      For Time

      Pattern Analysis, this could be ''BUSINESS_HOURS'', ''OFF_HOURS'', or

      ''UNUSUAL_TIME''. For Volume Analysis, this could be ''NORMAL_VOLUME'',

      ''HIGH_VOLUME'', or ''SURGE''. The pattern values are specific to each observation

      type and indicate the baseline behavior.'
    recommended: true
attributes:
  observation_parameter:
    name: observation_parameter
    description: 'The specific parameter or property being monitored. Examples include:
      CPU usage

      percentage, API response time in milliseconds, HTTP error rate, memory

      utilization, network latency, transaction volume, etc.'
    from_schema: https://w3id.org/lmodel/ocsf
    aliases:
    - Observation Parameter
    rank: 1000
    alias: observation_parameter
    owner: Baseline
    domain_of:
    - Anomaly
    - Baseline
    range: string
    required: true
  observation_type:
    name: observation_type
    description: 'The type of analysis being performed to establish baseline behavior.
      Common

      types include: Frequency Analysis, Time Pattern Analysis, Volume Analysis,

      Sequence Analysis, Distribution Analysis, etc.'
    from_schema: https://w3id.org/lmodel/ocsf
    aliases:
    - Observation Type
    rank: 1000
    alias: observation_type
    owner: Baseline
    domain_of:
    - Anomaly
    - Baseline
    range: string
    recommended: true
  observations:
    name: observations
    description: 'Collection of actual measured values, data points and observations
      recorded for

      this baseline.'
    from_schema: https://w3id.org/lmodel/ocsf
    aliases:
    - Observations
    rank: 1000
    alias: observations
    owner: Baseline
    domain_of:
    - Anomaly
    - Baseline
    range: Observation
    required: true
    multivalued: true
  observed_pattern:
    name: observed_pattern
    description: 'The specific pattern identified within the observation type. For
      Frequency

      Analysis, this could be ''FREQUENT'', ''INFREQUENT'', ''RARE'', or ''UNSEEN''.
      For Time

      Pattern Analysis, this could be ''BUSINESS_HOURS'', ''OFF_HOURS'', or

      ''UNUSUAL_TIME''. For Volume Analysis, this could be ''NORMAL_VOLUME'',

      ''HIGH_VOLUME'', or ''SURGE''. The pattern values are specific to each observation

      type and indicate the baseline behavior.'
    from_schema: https://w3id.org/lmodel/ocsf
    aliases:
    - Observed Pattern
    rank: 1000
    alias: observed_pattern
    owner: Baseline
    domain_of:
    - Anomaly
    - Baseline
    range: string
    recommended: true