Invention Application
US20160226720A1 Machine Data-Derived Key Performance Indicators with Per-Entity States
有权
机器数据导出的每个实体国家的关键绩效指标
- Patent Title: Machine Data-Derived Key Performance Indicators with Per-Entity States
- Patent Title (中): 机器数据导出的每个实体国家的关键绩效指标
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Application No.: US15012848Application Date: 2016-02-01
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Publication No.: US20160226720A1Publication Date: 2016-08-04
- Inventor: Leonid Alexseyev , Brian John Bingham , Tristan Antonio Fletcher , Brian C. Reyes
- Applicant: Splunk Inc.
- Main IPC: H04L12/24
- IPC: H04L12/24 ; G06F17/30 ; G06F3/0482 ; H04L12/26 ; G06F3/0484

Abstract:
Raw machine data are captured and may be organized as events. Entity definitions representing machine entities that perform a service identify the machine data pertaining to respective entities. KPI search queries each define a KPI. Each KPI search query derives one or more values for the KPI from machine data identified in the entity definitions. The derivation may be performed on a per-entity basis and on the aggregate. The derived values may then be translated into a state value domain using per-entity thresholds, aggregate thresholds, or a combination.
Public/Granted literature
- US09521047B2 Machine data-derived key performance indicators with per-entity states Public/Granted day:2016-12-13
Information query