PATENT CLAIM ANALYSIS

Application Number: 16133749
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-07
Patent Classification: ["718", "104000"]

Abstract:
A method for monitoring resources in a computing system having system information includes transforming, via representation learning, variable-size information into fixed-size information, and creating a machine learning neural network model and training it the machine learning model to predict future resource usage of an application. The method further includes providing the prediction of further resources usage of the application as an input to an action component, wherein the action component is one of an anomaly detector or a reinforcement learner that drives a scheduler. The method additionally includes performing, by the action component, at least one of scheduling resources within the computing system or detecting a resources usage anomaly.

Claim (Index 2):
The method according to  claim 1 , wherein the system information includes at least one of CPU usage, memory usage, and system calls.

Metadata:
- Claim Count in Document: 16.0
- Percentile: 97.0
- Lexical Diversity: 1.81538
- Patent Class: 718.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13246795', '14877923', '12395524', '16119901', '12710204']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4420874953445813
- 35 USC 102 Novelty (BERT): 0.4985937906526626
- Combined Prediction Score: 0.4477381248753895
- Mean Citation Score: 138.672948
- Max Citation Score: 142.524
- Similarity Product: 99.18220002293587

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