PATENT CLAIM ANALYSIS

Application Number: 16052518
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-11
Patent Classification: ["710", "220000"]

Abstract:
Provided are a computer program product, system, and method for using at least one machine learning module to select a priority queue from which to process an Input/Output (I/O) request. Input I/O statistics are provided on processing of I/O requests at the queues to at least one machine learning module. Output is received from the at least one machine learning module for each of the queues. The output for each queue indicates a likelihood that selection of an I/O request from the queue will maintain desired response time ratios between the queues. The received output for each of the queues is used to select a queue of the queues. An I/O request from the selected queue is processed.

Claim (Index 33):
The method of  claim 25 , wherein the determining the adjusted output and retraining the machine learning module are performed after processing at least one I/O request from one of the queues.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 96.0
- Lexical Diversity: 2.06452
- Patent Class: 710.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15202810', '15276323', '10879543', '11739460', '16049064']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.649284076131442
- 35 USC 102 Novelty (BERT): 0.5023558321717416
- Combined Prediction Score: 0.6345912517354719
- Mean Citation Score: 182.99677
- Max Citation Score: 189.70236
- Similarity Product: 115.57515821306706

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