PATENT CLAIM ANALYSIS

Application Number: 16124021
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-01
Patent Classification: ["709", "224000"]

Abstract:
Logical scalable units (LSU) can be used within a single network data center to provide stateful scalability. However, LSUs are not suitable for operating across multiple network data centers in order to provide geographical redundancy in active-active scenarios while providing high availability. This is because the latencies associated with replicating full session information are unacceptably slow. An additional component in the LSU (known as an LSU Frontend) can be used to replicate a small subset of session information between LSUs. This subset of session information may be enough to enable LSUs to process requests in an acceptable way rather than outright failing. This may be particularly advantageous in scenarios where the requests relate to Voice over LTE calls, because outright failure is very perceivable to subscribers, and it causes resource leakage within the telecommunications network.

Claim (Index 8):
The method of  claim 1 , further comprising:\n receiving in the processor a fourth communication message from the LSU frontend component; discarding any session information related to the received first communication message or the received fourth communication message.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 97.0
- Lexical Diversity: 1.55789
- Patent Class: 709.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15061862', '15061835', '16028733', '13903866', '13903769']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3598788629981643
- 35 USC 102 Novelty (BERT): 0.6026416525619979
- Combined Prediction Score: 0.3841551419545477
- Mean Citation Score: 469.93306
- Max Citation Score: 630.0551
- Similarity Product: 467.0334742823124

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