PATENT CLAIM ANALYSIS

Application Number: 16378724
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-08
Patent Classification: ["718", "104000"]

Abstract:
A processing system in a dispersed storage and a task (DST) network operates by receiving data and a corresponding task; identifying candidate DST execution units for executing partial tasks of the corresponding task; receiving distributed computing capabilities of the candidate DST execution units; selecting a subset of DST execution units of the candidate DST execution units to favorably execute the partial tasks of the corresponding task; determining task partitioning of the corresponding task into the partial tasks based on one or more of the distributed computing capabilities of the subset of DST execution units; determining processing parameters of the data based on the task partitioning; partitioning the tasks based on the task partitioning to produce the partial tasks; processing the data in accordance with the processing parameters to produce slice groupings; and sending the slice groupings and the partial tasks to the subset of DST execution units.

Claim (Index 17):
The non-transitory computer readable storage medium of  claim 15 , wherein the computing capabilities include one or more of: a processing capability level, a memory capacity level, a network access level, a bandwidth capability level, an availability level, or a reliability level.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 100.0
- Lexical Diversity: 2.98113
- Patent Class: 718.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15444952', '15341722', '13707428', '14287499', '15437862']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6046645839891666
- 35 USC 102 Novelty (BERT): 0.5889964741112172
- Combined Prediction Score: 0.6030977730013717
- Mean Citation Score: 350.94113600000014
- Max Citation Score: 415.86066
- Similarity Product: 372.3600434653938

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