PATENT CLAIM ANALYSIS

Application Number: 16017985
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-12
Patent Classification: ["711", "118000"]

Abstract:
Embodiments relate to efficiently replicating data from a source storage space to a target storage space. The storage spaces share a common namespace of paths where content units are stored. A shallow cache is maintained for the target storage space. Each entry in the cache includes a hash of a content unit in the target storage space and associated hierarchy paths in the target storage space where the corresponding content unit is stored. When a set of content units in the source storage space is to be replicated at the target storage space, any content unit with a hash in the cache is replicated from one of the associated paths in the cache, thus avoiding having to replicate content from the source storage space.

Claim (Index 3):
A method according to  claim 1 , further comprising determining that a given hash in the manifest is present in a given cache entry in the shallow cache, determining that each of the paths in the set of paths in the given cache entry do not contain a given data item that corresponds to the given hash, and based thereon copying the given data item from the remote device to the local data store and updating the shallow cache accordingly.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 94.0
- Lexical Diversity: 2.38182
- Patent Class: 711.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13725440', '15418704', '14608120', '13725521', '14836924']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4464068269181183
- 35 USC 102 Novelty (BERT): 0.4771537830005291
- Combined Prediction Score: 0.4494815225263593
- Mean Citation Score: 150.033926
- Max Citation Score: 151.82898
- Similarity Product: 108.65457579015256

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

Dataset: test