PATENT CLAIM ANALYSIS

Application Number: 15772898
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-11
Patent Classification: ["711", "206000"]

Abstract:
A method and a Memory Availability Managing Module ( 110 ) “MAMM” for managing availability of memory pages ( 130 ) are disclosed. A disaggregated hardware system ( 100 ) comprises sets of memory blades ( 105, 106, 107 ) and computing pools ( 102, 103, 104 ). The MAMM ( 110 ) receives (A 010 ) a message relating to allocation of at least one memory page to at least one operating system ( 120 ). The message comprises an indication about availability for said at least one memory page. The MAMM ( 110 ) translates (A 020 ) the indication about availability to a set of memory blade parameters, identifying at least one memory blade ( 105, 106, 107 ). The MAMM ( 110 ) generates (A 030 ) address mapping information for said at least one memory page, including a logical address of said at least one memory page mapped to at least two physical memory addresses of said at least one memory blade ( 105, 106, 107 ). The MAMM ( 110 ) provides (A 050 ) at least some of the address mapping information for use when access to said at least one memory page is requested. A corresponding computer program and a carrier therefor are also disclosed.

Claim (Index 47):
The Memory Availability Managing Module of  claim 46 , wherein the level of availability represents one or more of:\n a number of copies of the at least one memory page; a number of memory pools for storing the at least one memory page; a number of memory slots for storing the at least one memory page; and a maximum latency between the at least one memory page and a subset of the computing units, wherein the operating system is executable on the subset of the computing units.

Metadata:
- Claim Count in Document: 74.0
- Percentile: 93.0
- Lexical Diversity: 2.66292
- Patent Class: 711.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15769725', '11164393', '14915983', '15119777', '14585595']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5385605443818884
- 35 USC 102 Novelty (BERT): 0.4985612499507645
- Combined Prediction Score: 0.534560614938776
- Mean Citation Score: 177.38243599999996
- Max Citation Score: 241.2823
- Similarity Product: 168.9638916682005

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

Dataset: test