PATENT CLAIM ANALYSIS

Application Number: 16031502
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2020-01
Patent Classification: ["370", "230000"]

Abstract:
In one embodiment, a method includes determining, by one or more processors, a weight of a link between a first node and a second node of a network, wherein the weight is proportional to a probability value of forwarding a probe packet from the first node to the second node of the network. The method also includes adjusting, by the processors, the weight of the link between the first node and the second node using binary exponential backoff. The method further includes determining, by the processors, to forward the probe packet to the second node of the network based on the adjusted weight of the link and one or more field values of the probe packet.

Claim (Index 14):
The media of  claim 8 , the software further executable to:\n mirror the probe packet to create a mirrored probe packet, wherein the probe packet and the mirrored probe packet comprise identical destination MAC addresses; change the destination MAC address of the mirrored probe packet to a different destination MAC address; and forward the mirrored probe packet to a collector node, wherein changing the destination MAC address of the mirrored probe packet prevents the mirrored probe packet from being mirrored during transmission to the collector node.

Metadata:
- Claim Count in Document: 18.0
- Percentile: 95.0
- Lexical Diversity: 2.70213
- Patent Class: 370.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14688554', '14320052', '15836540', '13583857', '13138924']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5371039577196971
- 35 USC 102 Novelty (BERT): 0.4847515299150433
- Combined Prediction Score: 0.5318687149392317
- Mean Citation Score: 160.788044
- Max Citation Score: 164.66423
- Similarity Product: 108.91770923933863

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

Dataset: test