Systems and methods for conserving computational resources by reducing network traffic predictions via machine learning models
US12407627B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 26, 2024 |
| Grant date | Sep 2, 2025 |
| Priority date | — |
| Expiry date | Jan 26, 2044 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L47/801
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
In some embodiments, conserving computational resources by reducing network traffic predictions via machine learning models may be facilitated. In some embodiments, in connection with a first scheduled time for automated triggering of network resource predictions via a first machine learning model at scheduled times, a first resource usage prediction is received, via the first machine learning model, for a service executing within a computing environment. A first resource allocation process is performed for the service based on the first resource usage prediction. In connection with detecting that an amount of actual traffic corresponding to the service satisfies a traffic threshold for a threshold amount of time, a second resource allocation process is performed, before a second scheduled time next in the scheduled times after the first scheduled time.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.