PATENT CLAIM ANALYSIS

Application Number: 15881652
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-08
Patent Classification: ["370", "254000"]

Abstract:
For a multi-tenant environment, some embodiments of the invention provide a novel method for (1) embedding a specific path for a tenant's data message flow through a network in tunnel headers encapsulating the data message flow, and then (2) using the embedded path information to direct the data message flow through the network. In some embodiments, the method selects the specific path from two or more viable such paths through the network for the data message flow.

Claim (Index 7):
The method of  claim 6 , wherein at each subsequent forwarding element in the selected path that is not the last forwarding element in the selected path, the forwarding element processes a received encapsulated data message by:\n identifying the next forwarding-element identifier in the forwarding-element identifier set to identify the next forwarding element along the selected path; identifying a tunnel to the next forwarding element; and adjusting the tunnel header of the encapsulated data message for forwarding along the identified tunnel, said adjusting comprising adjusting the outer portion of the tunnel header to include a network address of the next forwarding element as the destination network address.

Metadata:
- Claim Count in Document: 45.0
- Percentile: 86.0
- Lexical Diversity: 1.77551
- Patent Class: 370.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14929403', '14929401', '14929399', '14929404', '14929400']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5771606115013332
- 35 USC 102 Novelty (BERT): 0.5105685842015316
- Combined Prediction Score: 0.5705014087713531
- Mean Citation Score: 287.7813280000001
- Max Citation Score: 296.79156
- Similarity Product: 213.3838920010185

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test