PATENT CLAIM ANALYSIS

Application Number: 15887915
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-06
Patent Classification: ["709", "224000"]

Abstract:
Examples may include techniques for monitoring virtual network functions or network functions virtualization infrastructure. Examples include receiving performance measurement data from virtualized network functions arranged to support a network service or from network functions virtualization infrastructure composed to support the virtualized network functions. In some examples, corrective actions such as virtualized network function lifecycle management operations are initiated based on the received performance measurement data.

Claim (Index 24):
The method of  claim 19 , the PM data related to the network service includes latency of one or more virtual links supporting the one or more VNFs, usage of the one or more virtual links supporting the one or more VNFs, average bandwidth used by the one or more VNFs to provide the network service over a time interval, peak bandwidth used by the one or more VNFs to provide the network service over the time interval, number of virtual machines (VMs) utilized by the one or more VNFs to provide the network service or number of virtual central processing units (vCPUs) utilized by the one or more VNFs to provide the network service.

Metadata:
- Claim Count in Document: 65.0
- Percentile: 88.0
- Lexical Diversity: 1.60465
- Patent Class: 709.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14751499', '14858228', '15574140', '15199805', '15144629']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2932074710161971
- 35 USC 102 Novelty (BERT): 0.6030548050578323
- Combined Prediction Score: 0.3241922044203606
- Mean Citation Score: 366.638762
- Max Citation Score: 551.7603
- Similarity Product: 460.7981766299665

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