PATENT CLAIM ANALYSIS

Application Number: 15909582
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-09
Patent Classification: ["711", "117000"]

Abstract:
A method implemented by a memory device, comprising obtaining, by a processor coupled to a memory, a wear-leveling policy from an application executable at the memory device, wherein the wear-leveling policy indicates a memory size by which to perform wear-leveling within an instance, wherein the instance comprises an address range assigned to the application in the memory of the memory device, obtaining, by a processor, a request to access the instance, and performing, by the processor, wear-leveling on a plurality of memory cells within the instance according to the wear-leveling policy.

Claim (Index 16):
A memory device, comprising:\n a storage class memory (SCM); a memory coupled to the SCM and comprising instructions; and a processor coupled to the SCM and the memory, wherein the processor executes the instructions to:\n obtain a wear-leveling policy from an application executable at the memory device, wherein the wear-leveling policy indicates a memory size by which to perform wear-leveling within an instance, wherein the instance comprises an address range assigned to the application in the memory of the memory device; \n obtain a request to access the instance; and \n perform wear-leveling on a plurality of memory cells within the instance according to the wear-leveling policy.

Metadata:
- Claim Count in Document: 24.0
- Percentile: 90.0
- Lexical Diversity: 2.39535
- Patent Class: 711.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13429360', '15730511', '13977652', '15618597', '11872014']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5143423374636308
- 35 USC 102 Novelty (BERT): 0.4887023094390818
- Combined Prediction Score: 0.511778334661176
- Mean Citation Score: 201.490566
- Max Citation Score: 207.4779
- Similarity Product: 142.66052135163542

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