PATENT CLAIM ANALYSIS

Application Number: 15864762
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-05
Patent Classification: ["370", "392000"]

Abstract:
A method for programming a MAC address table by a first leaf node in a network comprising a plurality of leaf nodes is provided. Each leaf node comprises one or more Virtual Tunnel End Points (“VTEPs”) and instantiates a plurality of Virtual Routing and Forwarding elements (“VRFs”), with a corresponding Bridge Domain (“BD”) assigned to each VRF. The method includes obtaining information indicating one or more VTEP Affinity Groups (VAGs), each VAG comprising an identification of one VTEP per leaf node, obtaining information indicating assignment of each VRF to one of the VAGs, assigning each VAG to a unique Filtering Identifier (“FID”), thereby generating one or more FIDs, and programming the MAC address table, using FIDs instead of BDs, by populating the MAC address table with a plurality of entries, each entry comprising a unique combination of a FID and a MAC address of a leaf node.

Claim (Index 14):
A system to program a Media Access Control (MAC) address table, the system comprising:\n at least one memory configured to store computer executable instructions; and at least one processor coupled to the at least one memory and configured, when executing the instructions, to:\n obtain information identifying one or more Virtual Tunnel End Point (VTEP) Affinity Groups (VAGs), each of the one or more VAGs including an identification of only one VTEP per leaf node; \n generate a Filtering Identifier (FID) for each of the one or more VAGs; and \n populate the MAC address table with at least one entry having one of the FIDs and a MAC address of a leaf node.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 86.0
- Lexical Diversity: 2.18519
- Patent Class: 370.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14670185', '14674900', '15486933', '14539176', '15143202']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5756035728784672
- 35 USC 102 Novelty (BERT): 0.5826150135517862
- Combined Prediction Score: 0.5763047169457991
- Mean Citation Score: 331.735796
- Max Citation Score: 510.20306
- Similarity Product: 432.1193070674753

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

Dataset: test