PATENT CLAIM ANALYSIS

Application Number: 15891105
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-05
Patent Classification: ["370", "401000"]

Abstract:
The technology disclosed herein enables remote gateways to quickly re-learn MAC addresses of workloads for a gateway that has taken over for another gateway. In a particular embodiment, a method provides determining that a backup gateway should begin handling communications exchanged with one or more workloads of an active gateway for a logical network. The method further provides transferring a control message to one or more remote gateways in communication with the backup gateway. The control message instructs the remote gateways to change MAC addresses learned from, and associated with, the active gateway to being associated with the backup gateway. The method also provides, in the backup gateway, receiving network communications directed to one or more of the workloads from one or more of the remote gateways.

Claim (Index 15):
A method of fast re-learning workload media access control (MAC) addresses, the method comprising:\n in a remote gateway, receiving a control message, from a backup gateway, that instructs the remote gateway to change MAC addresses learned from, and associated with, an active gateway to being associated with the backup gateway, wherein the backup gateway transfers the control message in response to determining that the backup gateway should begin handling communications exchanged with one or more workloads of the active gateway for a logical network; associating, with the backup gateway, the MAC addresses learned from the active gateway; and transferring network communications to one or more of the workloads via the backup gateway.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 88.0
- Lexical Diversity: 2.2459
- Patent Class: 370.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15445922', '15798255', '15220423', '13296872', '13898572']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5663170205233963
- 35 USC 102 Novelty (BERT): 0.4986321884406017
- Combined Prediction Score: 0.5595485373151169
- Mean Citation Score: 230.85237200000003
- Max Citation Score: 261.8476
- Similarity Product: 189.5505308617115

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