Predictive learning machine-based approach to detect traffic outside of service level agreements
US9338065B2 · kind B2 · utility
41Cited by
22References
25Claims
0Family size
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Key dates
| Filing date | Jan 27, 2014 |
| Grant date | May 10, 2016 |
| Priority date | — |
| Expiry date | May 8, 2034 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L41/16
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
In one embodiment, a request to make a prediction regarding one or more service level agreements (SLAs) in a network is received. A network traffic parameter and an SLA requirement associated with the network traffic parameter according to the one or more SLAs are also determined. In addition, a performance metric associated with traffic in the network that corresponds to the determined network traffic parameter is estimated. It may then be predicted whether the SLA requirement would be satisfied based on the estimated performance metric.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.