PATENT CLAIM ANALYSIS

Application Number: 15923866
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-07
Patent Classification: ["370", "392000"]

Abstract:
A method for allocating a global label is provided, including: receiving, by a controller, a first message sent by a forwarding apparatus, where the first message carries a first label range, multiple labels included in the first label range are a subset of multiple labels included in a label space of the forwarding apparatus, and the first label range is not equal to the label space of the forwarding apparatus; and allocating, by the controller, a global label to the forwarding apparatus according to the first label range carried in the first message, where the global label is a label in the first label range. In addition, a method for obtaining a global label, a controller, and a forwarding apparatus are further provided. The foregoing solutions improve efficiency of global label allocation.

Claim (Index 14):
The method according to  claim 8 , wherein before the sending, by the forwarding apparatus, a first message to the controller, the method further comprises:\n receiving, by the forwarding apparatus, a fifth message sent by the controller, wherein the fifth message is used to instruct the forwarding apparatus to send the label space of the forwarding apparatus to the controller, and the fifth message is further used to instruct the forwarding apparatus to send, to the controller, labels that have been allocated by the forwarding apparatus or a quantity of the labels that have been allocated by the forwarding apparatus.

Metadata:
- Claim Count in Document: 80.0
- Percentile: 90.0
- Lexical Diversity: 2.98
- Patent Class: 370.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15099169', '15098790', '09709230', '15099201', '15544749']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5761257813662971
- 35 USC 102 Novelty (BERT): 0.5065024655078059
- Combined Prediction Score: 0.569163449780448
- Mean Citation Score: 214.86321200000003
- Max Citation Score: 230.30739
- Similarity Product: 140.51256368163408

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