PATENT CLAIM ANALYSIS

Application Number: 15880110
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-07
Patent Classification: ["370", "312000"]

Abstract:
Systems and methods are disclosed for subscriber sampling for network packet forwarding based upon unique subscriber identifiers. Control packets within input packets are processed to identify unique subscriber identifiers and related session identifiers, which are stored in records within a tracking table. Each input packet is analyzed to extract a session identifier and a unique subscriber identifier if present within the input packet. When a unique subscriber identifier is not present, the tracking table is accessed to determine a unique subscriber identifier associated with the session identifier extracted from the packet. The input packet is sampled based upon the unique subscriber identifier to determine whether or not to output the input packet as a sampled packet. The subscriber sampling can include hash-based sampling, dynamic function based sampling, and/or other subscriber/call based sampling methods. Sampled packets are forwarded to egress port(s) for further processing.

Claim (Index 20):
The system of  claim 14 , wherein each sampler is further configured to apply sampling parameters to cause input packets associated within a selected percentage to be forwarded to one or more egress ports.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 86.0
- Lexical Diversity: 2.18056
- Patent Class: 370.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14879203', '15826787', '13759407', '13343614', '13248834']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6116520937567856
- 35 USC 102 Novelty (BERT): 0.5322169007761803
- Combined Prediction Score: 0.6037085744587251
- Mean Citation Score: 308.21975200000014
- Max Citation Score: 371.07108
- Similarity Product: 282.62450614982134

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test