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 3):
The method according to  claim 2 , wherein after the sending, by the controller, a second message to the forwarding apparatus, and before the allocating, by the controller, a global label to the forwarding apparatus, the method further comprises:\n receiving, by the controller, a third message sent by the forwarding apparatus, wherein the third message is used to notify the controller that the forwarding apparatus has allocated the new label to the second label switched path.

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): 0.5788932906078395
- 35 USC 102 Novelty (BERT): 0.4944485069347573
- Combined Prediction Score: 0.5704488122405312
- Mean Citation Score: 214.86321200000003
- Max Citation Score: 230.30739
- Similarity Product: 165.74838003778342

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