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 42):
The method of  claim 40 , further comprising:\n storing information on the selected queue in the task control block too process the I/O request.

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): 0.6290913116648713
- 35 USC 102 Novelty (BERT): 0.4902678115454849
- Combined Prediction Score: 0.6152089616529327
- Mean Citation Score: 193.22275
- Max Citation Score: 201.68234
- Similarity Product: 141.21170368855596

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