Performance monitoring at edge of communication networks using hybrid multi-granular computation with learning feedback
US10432477B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 30, 2015 |
| Grant date | Oct 1, 2019 |
| Priority date | — |
| Expiry date | Aug 12, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2201/875
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Example implementations disclosed herein are directed to monitoring communications networks in real time to ensure that they are performing in a desired fashion. Metrics such as utilization and latency are monitored to ensure that customer SLAs (Service Level Agreements) are met in a timely fashion. To detect problems in advance, example implementations predict the future values of metrics and detect events if the future value violates certain conditions. Example implementations build models that can predict the future values of metrics and analyze historical, near real time and real time streaming data so as to build predictive models.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.