PATENT CLAIM ANALYSIS

Application Number: 15962083
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-10
Patent Classification: ["709", "223000"]

Abstract:
Embodiments for preventing data loss in a computing storage environment by a processor. One or more offline events in a locality failing to have continuous network connectivity may be detected. An ad-hoc distributed file system, having one or more edge devices associated with the locality, may be created for storing data produced during the one or more offline events.

Claim (Index 15):
A computer program product for, by a processor, preventing data loss in a computing storage environment, the computer program product comprising a non-transitory computer-readable storage medium having computer-readable program code portions stored therein, the computer-readable program code portions comprising:\n an executable portion that detects one or more offline events in a locality failing to have continuous network connectivity; and an executable portion that creates an ad-hoc distributed file system, having one or more edge devices associated with the locality, for storing data produced during the one or more offline events; wherein the ad-hoc distributed file system is initiated on the one or more edge devices associated with the locality is created in response, and not previous, to the detected one or more offline events.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 91.0
- Lexical Diversity: 1.42222
- Patent Class: 709.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14187917', '13976636', '16094905', '11755780', '13051635']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2481406371495669
- 35 USC 102 Novelty (BERT): 0.4640129722910819
- Combined Prediction Score: 0.2697278706637184
- Mean Citation Score: 118.05481100000002
- Max Citation Score: 123.82528
- Similarity Product: 85.77471230640411

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test