PATENT CLAIM ANALYSIS

Application Number: 16124731
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-01
Patent Classification: ["709", "204000"]

Abstract:
A method for dynamically adapting to increased system load at a selective forwarding unit (SFU) is disclosed. In an embodiment, an SFU sends a plurality of video streams to a plurality of participant computing devices. The SFU monitors a system load value on the SFU according to any of a plurality of metrics. When the SFU determines that the monitored system load value exceeds a stored load threshold value, the SFU selects one or more of the streams being sent to participant computing devices and disables them.

Claim (Index 14):
The SFU of  claim 9 , wherein the one or more instruction, when executed by the one or more processors, further cause selecting the subset of the plurality of participant computing devices by:\n identifying, for each participant computing device of the subset of the plurality of participant computing devices, a particular number of the one or more digital video streams to disable for the participant computing device; computing a load effect value which estimates an effect on the load of the SFU of disabling the one or more of the digital video streams that are sent to the participant computing device from the SFU, for each participant computing device; determining that the load effect value is equal to or greater than the particular load reduction.

Metadata:
- Claim Count in Document: 38.0
- Percentile: 97.0
- Lexical Diversity: 1.69643
- Patent Class: 709.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15493057', '15279325', '14864745', '15851990', '15076821']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2616057620109407
- 35 USC 102 Novelty (BERT): 0.5440303279793588
- Combined Prediction Score: 0.2898482186077825
- Mean Citation Score: 260.78301600000003
- Max Citation Score: 384.30038
- Similarity Product: 370.9362812899757

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test