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 15):
The computer program product of  claim 7 , wherein the operations further comprise:\n determining whether any of the queues have an average response time greater than an acceptable maximum average response time; and adjusting at least one of the adjusted outputs and recent outputs from the at least one machine learning module used to retrain the at least one machine learning module to increase an adjusted or recent output of as queue having an average response time greater than the acceptable maximum average response time relative to any queues having average response time less than the acceptable maximum average response time.

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): 0.6497700052791127
- 35 USC 102 Novelty (BERT): 0.5002642068116534
- Combined Prediction Score: 0.6348194254323668
- Mean Citation Score: 182.99677
- Max Citation Score: 189.70236
- Similarity Product: 118.37813081768992

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