PATENT CLAIM ANALYSIS

Application Number: 15969803
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-11
Patent Classification: ["711", "162000"]

Abstract:
Embodiments of the present invention provide methods, program products, and systems for improving DIMM level memory mirroring. Embodiments of the present invention can be used to configure a first memory module device of a pair memory module devices to receive a set of read and write operations and configure a second memory module device of the pair of memory module devices to receive only write operations of the set of read and write operations. Embodiments of the present invention can, responsive to detecting a failure, reconfiguring the first and the second memory module device to set the first memory module device to receive only write operations of the set of read and write operations and the second memory module device to receive read and write operations of the set of read and write operations.

Claim (Index 2):
The computer-implemented method of  claim 1 , further comprising:\n identifying a failed location of the first memory module device; reading data of the first memory module device at the identified failed location of the first memory module device; and performing read and write operations on the second memory module device from the identified failed location of the first memory module device.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 93.0
- Lexical Diversity: 3.43902
- Patent Class: 711.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15362912', '11951735', '11054447', '13835282', '13835259']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4492749425263242
- 35 USC 102 Novelty (BERT): 0.5315437925552916
- Combined Prediction Score: 0.457501827529221
- Mean Citation Score: 200.957212
- Max Citation Score: 356.3544
- Similarity Product: 352.8931318157673

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