PATENT CLAIM ANALYSIS

Application Number: 15926459
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-09
Patent Classification: ["370", "254000"]

Abstract:
Applying a virtual network function (VNF) chain includes storing, in a shared data repository, configuration data used to configure VNFs of the VNF chain within a network node. Hierarchical version control of the configuration data allows VNF's, which are logically arranged in a sequential fashion, yet have the ability to process frames in parallel, to track which frames are governed by a hierarchy that may be manipulated based on external events such as fail-overs, or configuration changes.

Claim (Index 1):
A method for processing a plurality of data frames employing a virtual network function (VNF) chain within a network node, comprising:\n storing, in a shared data repository, configuration data used to configure a plurality of sequential VNFs of the VNF chain within the network node; selecting, from the configuration data in the shared data repository, a configuration data block based on metadata of a first data frame processed through the VNF chain; and sending, from the shared data repository, the configuration data block to a first VNF of the plurality of sequential VNFs to configure the first VNF, wherein each subsequent VNF of the plurality of VNFs in the VNF chain is configured using at least the configuration data block to process the first and subsequent data frames.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 90.0
- Lexical Diversity: 1.46667
- Patent Class: 370.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15081378', '14939674', '15197754', '14978569', '15342824']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5334768888553225
- 35 USC 102 Novelty (BERT): 0.4730902457443648
- Combined Prediction Score: 0.5274382245442267
- Mean Citation Score: 181.84657
- Max Citation Score: 188.47908
- Similarity Product: 143.88405683534862

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