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 14):
The computing system of  claim 10 , wherein the program instructions, upon execution by the processing unit, cause the computing system to:\n select a Deep Boltzmann Machine (DBM) model having a single visible layer and multiple hidden layers; model each routing element in the communication network as a distinct unit in a corresponding one of the hidden layers of the DBM model; provide a source Internet Protocol (IP) address and a destination IP address of a data packet to be routed through the communication network as units of the visible layer of the DBM model; and use the DBM model to evaluate predicted future usages of corresponding routing elements forming the hidden layers thereof to recommend a routing path for the data packet within the communication network based on the source and the destination IP addresses.

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): 0.4999307730455798
- 35 USC 102 Novelty (BERT): 0.4920583052355411
- Combined Prediction Score: 0.499143526264576
- Mean Citation Score: 177.233034
- Max Citation Score: 188.01337
- Similarity Product: 130.97366974047546

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