PATENT CLAIM ANALYSIS

Application Number: 16277690
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-06
Patent Classification: ["709", "224000"]

Abstract:
Techniques are described for performing subscriber aware two-way active measurement protocol (TWAMP) data session provisioning between two endpoints in a computer network. For example, the disclosed techniques include extending TWAMP control messaging to include a communication mode for negotiating subscriber-aware TWAMP data monitoring. If the communication mode is supported by both endpoints, a subscriber identifier is specified when a TWAMP data session is provisioned (negotiated) over the control session. The disclosed techniques further include extending TWAMP data messaging to include the subscriber identifier in each test packet for the data session. In this way, each of the endpoints may identify a subscriber corresponding to one or more received TWAMP test packets based on the subscriber identifier included in the received TWAMP test packets.

Claim (Index 8):
The computer-readable medium of  claim 7 , further comprising instructions that configure the processor to, for each of the one or more TWAMP test packets and prior to sending the one or more TWAMP test packets back to the TWAMP session sender:\n extract, by the TWAMP session reflector, a subscriber packet embedded within a payload of the respective TWAMP test packet; select, based on the subscriber identifier associated with the data session, a network service; direct the subscriber packet to be processed by the selected network service; receive a processed subscriber packet from the network service after processing by the network service; and send, by the TWAMP session reflector, the respective TWAMP test packet back to the TWAMP session sender in response to receive the processed subscriber packet from the network service.

Metadata:
- Claim Count in Document: 32.0
- Percentile: 99.0
- Lexical Diversity: 1.875
- Patent Class: 709.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15376617', '15380598', '16002510', '16030226', '14755961']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3469024963805993
- 35 USC 102 Novelty (BERT): 0.6102658831436966
- Combined Prediction Score: 0.373238835056909
- Mean Citation Score: 410.314228
- Max Citation Score: 534.73083
- Similarity Product: 500.9599387413953

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