PATENT CLAIM ANALYSIS

Application Number: 15984201
Application Type: Utility
Filing Date: 2018-05
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 41):
The method of  claim 40 , further comprising:\n storing the received output from the machine learning module in the task control block that was used to select the queue; and using the I/O statistics and the output in the task control block to retrain the machine learning module.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 93.0
- Lexical Diversity: 2.06452
- Patent Class: 710.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['12046740', '15628776', '14292123', '11739460', '12240190']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6254797186000266
- 35 USC 102 Novelty (BERT): 0.5056982117931704
- Combined Prediction Score: 0.6135015679193411
- Mean Citation Score: 193.22275
- Max Citation Score: 201.68234
- Similarity Product: 117.67816481861117

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