PATENT CLAIM ANALYSIS

Application Number: 15892417
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-06
Patent Classification: ["370", "236000"]

Abstract:
The present disclosure relates to the communications field, and specifically, to a flow table processing method and an apparatus. The method includes: monitoring, by a switch, a flow table load of the switch; when the flow table load of the switch exceeds a preset threshold, determining, by the switch, a diffusion target of a target data flow according to a matching rule of a diffusive flow table; and when the determined diffusion target is a neighboring switch of the switch, forwarding, by the switch, the target data flow to the neighboring switch. When the flow table load of the switch exceeds the preset threshold, the switch may have been attacked. A data flow that fails to be matched to a flow entry is forwarded to the neighboring switch according to a diffusion probability, for processing by the neighboring switch.

Claim (Index 10):
The method according to  claim 9 , wherein before the diffusing, by the switch, a target data flow to a neighboring switch according to a diffusion probability, the method further comprises:\n calculating, by the switch, the diffusion probability according to the following formula: Ps = P \ue89e \ue89e max \u00d7 avg - min \ue89e \ue89e thresh max \ue89e \ue89e thresh - min \ue89e \ue89e thresh + P \ue89e \ue89e min , wherein\n P S  is the diffusion probability, P max  is a preset maximum diffusion probability, Pmin is a preset minimum probability, a flow table usage is used to represent the flow table load, avg is the flow table usage, maxthresh is a first threshold, minthresh is a second threshold, and the first threshold is greater than the second threshold.

Metadata:
- Claim Count in Document: 34.0
- Percentile: 88.0
- Lexical Diversity: 2.77193
- Patent Class: 370.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15681659', '15137963', '15525667', '15869916', '15873895']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5182276545140649
- 35 USC 102 Novelty (BERT): 0.5009717229209519
- Combined Prediction Score: 0.5165020613547536
- Mean Citation Score: 192.069014
- Max Citation Score: 196.69008
- Similarity Product: 126.89974121157644

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