PATENT CLAIM ANALYSIS

Application Number: 15950058
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["711", "154000"]

Abstract:
In one embodiment, a computer-implemented method for performing deduplication in conjunction with random read and write operations across a namespace that is divided into a plurality of disjoint regions is disclosed. The method includes: maintaining a metadata structure for each of the plurality of disjoint regions via the respective region manager, each metadata structure comprising metadata indicating a physical storage location of one or more data chunks associated with the respective region; and performing a deduplicated write operation. The deduplicated write operation includes: determining whether the disjoint regions comprise a second data chunk identical in content to a first data chunk; and in response to determining one or more of the plurality of disjoint regions other than the first region includes the second data chunk, establishing a reference from the first data chunk to the second data chunk. Corresponding systems and computer program products are also disclosed.

Claim (Index 10):
The computer-implemented method as recited in  claim 1 , the namespace comprising a virtual namespace map comprising:\n metadata indicating a unique key for each data chunk stored in the namespace; and metadata indicating a region to which each data chunk stored in the namespace belongs.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 91.0
- Lexical Diversity: 2.05195
- Patent Class: 711.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15084410', '15084413', '12642071', '12642109', '13411936']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4895113060461764
- 35 USC 102 Novelty (BERT): 0.5635877654194938
- Combined Prediction Score: 0.4969189519835081
- Mean Citation Score: 290.368714
- Max Citation Score: 430.80545
- Similarity Product: 397.3136013380737

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