PATENT CLAIM ANALYSIS

Application Number: 16170083
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-02
Patent Classification: ["711", "172000"]

Abstract:
A method of apportioning storage units in a dispersed storage network (DSN) includes generating storage unit apportioning data indicating a mapping of a plurality of desired numbers of storage units to a plurality of storage sites based on site reliability data. The mapping includes a first desired number of storage units corresponding to a first one of the plurality of storage sites that is greater than a second desired number of storage units corresponding to a second one of the plurality of storage sites in response to the site reliability data indicating that a first reliability score corresponding to the first one of the plurality of storage sites is more favorable than a second reliability score corresponding to the second one of the plurality of storage sites. A plurality of storage units are allocated to the plurality of storage sites based on the storage unit apportioning data.

Claim (Index 2):
The method of  claim 1 , wherein the plurality of desired numbers of storage units of the mapping are proportional to a corresponding plurality of reliability scores of the plurality of storage sites indicated by the site reliability data, wherein the corresponding plurality of reliability scores includes the first reliability score and the second reliability score.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 97.0
- Lexical Diversity: 3.30435
- Patent Class: 711.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15240591', '15350672', '15213811', '14287401', '14527139']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5104534719438711
- 35 USC 102 Novelty (BERT): 0.533342910172284
- Combined Prediction Score: 0.5127424157667124
- Mean Citation Score: 253.53899199999995
- Max Citation Score: 357.58612
- Similarity Product: 355.1909184961653

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