发明名称 ADAPTIVE KEY PERFORMANCE INDICATOR THRESHOLDS
摘要 Techniques are disclosed for providing adaptive thresholding technology for Key Performance Indicators (KPIs). Adaptive thresholding technology may automatically assign new values or adjust existing values for one or more thresholds of one or more time policies. Assigning threshold values using adaptive thresholding may involve identifying training data (e.g., historical data, simulated data, or example data) for the time frames and analyzing the training data to identify variations within the data (e.g., patterns, distributions, trends). A threshold value may be determined based on the variations and may be assigned to one or more of the thresholds without additional user intervention.
申请公布号 US2016104076(A1) 申请公布日期 2016.04.14
申请号 US201514859236 申请日期 2015.09.18
申请人 Splunk Inc. 发明人 Maheshwari Sonal;Sainani Manish;Alekseyev Leonid;Hardin Alan;Leverich Jacob Barton;Oliner Adam Jamison;Reyes Brian;Bhide Alok Anant
分类号 G06N99/00 主分类号 G06N99/00
代理机构 代理人
主权项 1. A method comprising: accessing information that defines one or more time frames associated with a key performance indicator (KPI), each of the time frames having a set of one or more thresholds wherein each threshold represents the end of a range of values corresponding to a particular state of the KPI, and wherein the KPI is defined by a search query that derives a value indicative of the performance of a service at a point in time or during a period of time, the value derived from machine data pertaining to one or more entities that provide the service; assigning one or more threshold values to the thresholds, comprising, for each time frame: identifying training data for the time frame, anddetermining the one or more threshold values for the time frame in consideration of the identified training data; and wherein the method is performed by a computer system comprising one or more processors.
地址 San Francisco CA US