PATENT CLAIM ANALYSIS

Application Number: 16291418
Application Type: Utility
Filing Date: 2019-03
Publication Date: 2019-06
Patent Classification: ["370", "235000"]

Abstract:
The present disclosure is directed towards systems and methods of service chain load balancing. A controller intermediary to a client and computing infrastructure identifies a plurality of service chains. Each of the plurality of service chains include a path having an instance of a first service provided by the computing infrastructure and an instance of a second service provided by the computing infrastructure. The controller determines a path weight for each of the plurality of service chains. The path weight indicates a level of efficiency of delivering services in accordance with the service chain. The controller selects, based on a load balancing function and the path weight for each of the plurality of service chains, a service chain from the plurality of service chains to direct network traffic from a client.

Claim (Index 5):
The method of  claim 4 , further comprising determining, by the device based at least on the metadata, a first edge weight for a first instance of the first service, a second edge weight for a second instance of the first service, a third edge weight for the first instance of the second service, and a fourth edge weight for the second instance of the second service.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 99.0
- Lexical Diversity: 2.39655
- Patent Class: 370.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15143181', '15015507', '16107670', '13955807', '14533665']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5016213352471965
- 35 USC 102 Novelty (BERT): 0.5402130187555675
- Combined Prediction Score: 0.5054805035980336
- Mean Citation Score: 251.532094
- Max Citation Score: 380.61374
- Similarity Product: 237.8333372419059

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