Detecting abnormalities in time-series data from an online professional network
US8661299B1 · kind B1 · utility
Assignee
Inventor
Key dates
| Filing date | May 31, 2013 |
| Grant date | Feb 25, 2014 |
| Priority date | — |
| Expiry date | May 31, 2033 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L43/0817
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
The disclosed embodiments relate to a system for detecting abnormalities in time-series performance data obtained from machines that implement an online professional network. During operation, the system receives the time-series data, including throughput measurements and/or latency measurements for requests made to back-end systems associated with the online professional network. Next, the system attempts to detect abnormalities in the time-series data. If such an abnormality is detected, the system looks up associated system metrics, which are temporally proximate to the abnormality. The system then generates a notification about the abnormality along with the associated system metrics to facilitate determining a root cause of the abnormality.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.