PATENT CLAIM ANALYSIS

Application Number: 16015051
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["370", "328000"]

Abstract:
For a network with host machines that are hosting virtual machines, a method for facilitating BUM (broadcast, unknown unicast, and multicast) traffic between a hardware switch (e.g., ToR switch) and the host machines is provided. The network has a set of host machines configured as a cluster of replicators for replicating BUM traffic from the hardware switch to the host machines. A set of network controllers establishes failure-detection tunnels for links between the hardware switch and the replicator cluster. The replicator cluster informs the set of controllers of a change in the membership of the replicator cluster to initiate an update to the active failure-detection sessions. The set of network controllers communicates with the replicator cluster and a ToR switch to establish bidirectional forwarding detection (BFD) sessions between one or more replicator nodes in the replicator cluster and the ToR switch.

Claim (Index 23):
The system of  claim 22 , wherein\n the tunnel is a first unidirectional tunnel and, after receiving the unidirectional tunnel endpoint information, the particular host in the second set of host machines establishes a second unidirectional tunnel from the particular host machine to the hardware forwarding element using the unidirectional tunnel endpoint information, and the first and second unidirectional tunnels are used to exchange information to detect failures in the connection between the hardware forwarding element and the particular host machine.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 94.0
- Lexical Diversity: 2.26087
- Patent Class: 370.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15146879', '14836802', '14945325', '15012782', '14945329']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5676307386476692
- 35 USC 102 Novelty (BERT): 0.6022297164038709
- Combined Prediction Score: 0.5710906364232895
- Mean Citation Score: 280.51794600000005
- Max Citation Score: 543.565
- Similarity Product: 476.7633188474179

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