PATENT CLAIM ANALYSIS

Application Number: 15903992
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-07
Patent Classification: ["709", "212000"]

Abstract:
Methods and apparatus for selection of memory locations for data access operations in a dispersed storage network (DSN) are disclosed. In various embodiments, a dispersed storage (DS) processing module of the DSN receives a DSN access request regarding at least one data segment of a data object. The DS processing module determines a DSN address associated with the DSN access request and performs a scoring function using the DSN address and one or more properties of DSN memory to produce a storage scoring resultant. The storage scoring resultant is utilized to identify a set of storage units of the DSN. A set of access requests is then sent to the set of storage units regarding the DSN access request. The scoring function can include, for example, performing deterministic functions, normalizing functions and ranking functions to produce the storage scoring resultant.

Claim (Index 10):
The method of  claim 1 , wherein the performing the scoring function further comprises:\n selecting a storage unit level indication as a resource level; selecting a storage site-storage unit identifier and a storage site-storage weighting factor for each of the plurality of storage units to produce a plurality of storage site-storage unit identifiers and a plurality of storage site-storage unit weighting factors, wherein the one or more properties of DSN memory includes the plurality of storage site-storage unit identifiers and the plurality of storage site-storage unit weighting factors; performing a series of functions on the DSN address based on the plurality of storage site-storage unit identifiers and the plurality of storage site-storage unit weighting factors to produce a plurality of storage values; and performing a ranking function of the plurality of storage values to produce the storage scoring resultant.

Metadata:
- Claim Count in Document: 41.0
- Percentile: 88.0
- Lexical Diversity: 2.2
- Patent Class: 709.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14721615', '14707974', '14721723', '15805085', '14721838']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3462374180435217
- 35 USC 102 Novelty (BERT): 0.5785477943835864
- Combined Prediction Score: 0.3694684556775282
- Mean Citation Score: 442.554162
- Max Citation Score: 474.14743
- Similarity Product: 430.7578888273514

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