PATENT CLAIM ANALYSIS

Application Number: 15916144
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-07
Patent Classification: ["370", "235000"]

Abstract:
Various embodiments of a virtual output queue system within a network element enables per-input port virtual output queues within a network data processor of the network element. In one embodiment, each port managed by a network data processor has an associated set of virtual output queues for each output port on the network data element. In one embodiment, network data processor hardware supports per-processor VOQs and per-input port VOQs are enabled in hardware for layer 3 forwarding by overloading layer 2 forwarding logic. In such embodiment, a mapping table is generated to enable virtual per-input port VOQs for layer 3 forwarding logic using layer 2 logic that is otherwise unused during layer 3 forwarding. In one embodiment, multiple traffic classes can be managed per-input port when using per-input port VOQs. In one embodiment, equal cost multi-path (ECMP) and link aggregation support is also enabled.

Claim (Index 5):
The network element as in  claim 4 , wherein the ingress data pipeline is to:\n for each unit of network data in the first set of network data,\n determine that this unit of network data is to be forwarded to the second port via a network layer address of the network data, \n determine a port identifier associated with the second port, and \n insert the unit of network data into the corresponding traffic class VOQ defined at least in part by the first port, the port identifier associated with the second port, and the traffic class of the unit of network data.

Metadata:
- Claim Count in Document: 12.0
- Percentile: 90.0
- Lexical Diversity: 2.12162
- Patent Class: 370.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14989573', '10059641', '15378196', '13570419', '14685101']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5992422658843615
- 35 USC 102 Novelty (BERT): 0.5768527318386861
- Combined Prediction Score: 0.597003312479794
- Mean Citation Score: 322.886944
- Max Citation Score: 483.0725
- Similarity Product: 419.5659410582482

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