PATENT CLAIM ANALYSIS

Application Number: 16045668
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2020-01
Patent Classification: ["370", "220000"]

Abstract:
A system, method, and computer program for providing tunneling redundancy is provided. The method may include using router redundancy protocols on routers at endpoints of virtual IP tunnels to allow for failover of a master router to a backup router that assumes control over a virtual IP address in order to keep packet transmission in the virtual IP tunnel flowing with minimal interruption and no remote reconfiguration.

Claim (Index 10):
A non-transitory computer readable medium comprising computer executable instructions stored thereon, that when executed by a processor, cause the processor to perform a method for facilitating router redundancy, comprising:\n enabling router redundancy protocol on a first router in conjunction with a second router, wherein the first and second routers are configured as a backup router and a master router, respectively; configuring a virtual Internet Protocol (IP) tunnel between a first virtual IP tunnel endpoint corresponding to the first and second routers and a second virtual IP tunnel endpoint corresponding to a set of remote routers, wherein the virtual IP tunnel facilitates packet transmission capability between the first and second endpoints based on a layer-3 tunneling protocol; monitoring the second router for failure; and upon detecting a failure of the second router, promoting the first router to a master router based on the router redundancy protocol for packet transmission via the virtual IP tunnel.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 95.0
- Lexical Diversity: 1.33962
- Patent Class: 370.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15281976', '11712596', '11701620', '13585614', '15017024']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4834862931896822
- 35 USC 102 Novelty (BERT): 0.4693487851174333
- Combined Prediction Score: 0.4820725423824573
- Mean Citation Score: 169.043702
- Max Citation Score: 175.17613
- Similarity Product: 141.48475502074595

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