Efficient detection and prediction of data pattern changes in a cloud-based application acceleration as a service environment
US12309039B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 19, 2024 |
| Grant date | May 20, 2025 |
| Priority date | — |
| Expiry date | Jan 19, 2044 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L43/022
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
A method implemented through a data processing device in a computing network includes sampling time series data associated with each network entity for each feature thereof into a smaller time interval as a first data series and a second data series including a maximum value and a minimum value respectively of the sampled time series data for the each feature within the smaller time interval, and generating a reference data band from predicted future data sets. The method also includes detecting, based on the reference data band, an anomaly in real-time data associated with the each network entity for the each feature thereof, and determining an event associated with a pattern of change of the real-time data associated with the each network entity based on executing an optimization algorithm to determine a series of anomalies including the detected anomaly.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.