PATENT CLAIM ANALYSIS

Application Number: 15976361
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-11
Patent Classification: ["370", "351000"]

Abstract:
An optimal path suggestion tool in a Software-Defined Networking (SDN) architecture to predict a router's future usage based on an analysis of the router's historical usage over a given period of time in the past and to recommend an optimal routing path within the network in view of the predicted future usages of the routers/switches in the network. The optimal path suggestion tool is an analytical, plug-and-play model usable as part of an SDN controller to provide more insights into different routing paths based on the future usage of each router. A Long Short-Term Memory Recurrent Neural Network (LSTM-RNN) model in the suggestion tool analyzes the historical usage data of a router to predict its future usage. A Deep Boltzmann Machine (DBM) model in the suggestion tool recommends an optimal routing path within the SDN-based network upon analysis of the LSTM-RNN based predicted future usages of routers/switches in the network.

Claim (Index 12):
The computing system of  claim 10 , wherein the program instructions, upon execution by the processing unit, cause the computing system to:\n use a Deep Boltzmann Machine (DBM) model to recommend a routing path within the communication network that is based on a corresponding predicted future usage of each routing element within the routing path.

Metadata:
- Claim Count in Document: 29.0
- Percentile: 93.0
- Lexical Diversity: 2.14474
- Patent Class: 370.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15379010', '15253659', '15718861', '15817165', '15817161']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4978406689929349
- 35 USC 102 Novelty (BERT): 0.5002292910698061
- Combined Prediction Score: 0.4980795312006221
- Mean Citation Score: 177.233034
- Max Citation Score: 188.01337
- Similarity Product: 120.22005306663036

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