PATENT CLAIM ANALYSIS

Application Number: 15753964
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["709", "217000"]

Abstract:
Various examples provide for solutions that use an artificial neural network to adjust a cloud-based execution environment for an application based on a set of metrics associated with the cloud-based execution environment, including a Quality-of-Service (QoS) metric and a cost metric. The adjustment may be based on a mapping, determined by the artificial neural network, between the application and a cloud-based infrastructure utilized by the cloud-based execution environment.

Claim (Index 1):
A method, comprising:\n receiving, at a computer system, a set of metrics associated with a cloud-based execution environment for executing an application, the set of metrics including a quality-of-service (QoS) metric, a cost metric, and a performance metric of the application; determining, by an artificial neural network, a mapping between the application and a cloud-based infrastructure utilized by the cloud-based execution environment to execute the application, an input node layer of the artificial neural network receiving at least the QoS metric, the cost metric and the performance metric of the application; adjusting the cloud-based execution environment based on the mapping; and backpropagating, through the artificial neural network, at least an updated QoS metric and an updated cost metric associated with the adjusted cloud-based execution environment.

Metadata:
- Claim Count in Document: 35.0
- Percentile: 88.0
- Lexical Diversity: 1.63043
- Patent Class: 709.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14083527', '15056570', '13953197', '14307745', '15155560']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2497767303994051
- 35 USC 102 Novelty (BERT): 0.4591098067949564
- Combined Prediction Score: 0.2707100380389602
- Mean Citation Score: 141.022758
- Max Citation Score: 148.77438
- Similarity Product: 113.20999290705086

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