PATENT CLAIM ANALYSIS

Application Number: 16291949
Application Type: Utility
Filing Date: 2019-03
Publication Date: 2019-06
Patent Classification: ["709", "226000"]

Abstract:
Systems and methods for network function virtualization (NFV) resource management are disclosed that include receiving, by a network functions virtualization orchestrator (NFVO), a reuse requirement for a first network service (NS) and determining, by the NFVO, that at least one constituent virtual network function (VNF) instance in the first NS is retainable for reuse in a second NS according to the reuse requirement when the first NS is to be terminated. In some embodiments, these systems and methods also include retaining, by the NFVO, the at least one constituent VNF instance in the first NS for reuse in the second NS.

Claim (Index 1):
A method for network function virtualization (NFV) resource management comprising:\n receiving, by a network functions virtualization orchestrator (NFVO), a reuse requirement for a first network service (NS); determining, by the NFVO, that at least one constituent virtual network function (VNF) instance in the first NS is retainable for reuse in a second NS according to the reuse requirement when the first NS is to be terminated; and retaining, by the NFVO, the at least one constituent VNF instance in the first NS for reuse in the second NS.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 99.0
- Lexical Diversity: 2.18519
- Patent Class: 709.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15247652', '15638246', '16168512', '15199805', '15144629']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3020428961044153
- 35 USC 102 Novelty (BERT): 0.5814521759526775
- Combined Prediction Score: 0.3299838240892415
- Mean Citation Score: 342.864566
- Max Citation Score: 488.91187
- Similarity Product: 464.6298705942648

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

Dataset: test