PATENT CLAIM ANALYSIS

Application Number: 16159662
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-02
Patent Classification: ["711", "119000"]

Abstract:
An in-memory cluster computing framework node is described. The node includes storage devices having various priorities. The node also includes a resource monitor to monitor the operation of the storage devices. The node also includes a resource scheduler. When the resource monitor indicates that a storage device is at or approaching saturation, the resource scheduler can migrate data from that storage device to another storage device of lower priority.

Claim (Index 12):
A method for caching data in an in-memory cluster computing framework, comprising:\n caching a data on a first storage device with a first priority in a cluster node, the first priority ranking the first storage device according to at least one metric; monitoring the operation of the first storage device; and if the first storage device is approaching a performance characteristic limit according to the at least one metric, migrating the cached data to a second storage device with a second priority, the second priority ranking the second storage device according to the at least one metric, wherein the first priority for the first storage device and the second priority for the second storage device are determined without reference to an application and the application's data.

Metadata:
- Claim Count in Document: 56.0
- Percentile: 97.0
- Lexical Diversity: 1.82927
- Patent Class: 711.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14712895', '15485347', '14986419', '15352250', '15595713']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4896819929333131
- 35 USC 102 Novelty (BERT): 0.5291083806335519
- Combined Prediction Score: 0.493624631703337
- Mean Citation Score: 191.696616
- Max Citation Score: 352.90115
- Similarity Product: 302.9091818952203

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