PATENT CLAIM ANALYSIS

Application Number: 16270007
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-06
Patent Classification: ["718", "001000"]

Abstract:
A storage layer based orchestration method can efficiently migrate a virtualized, enterprise scale system across disparate virtualization environments. A copy of a source logical storage container with multiple virtual disks of virtual machines (VMs) can be created in a public cloud destination as a destination logical storage container. Each of the VMs is associated with at least one virtual disk that includes boot data (“boot disk”) for the VM. With application programming interface function calls and/or scripted task automation and configuration management commands, the orchestration method coordinates different applications and tools to convert the boot disks into canonical storage representations (e.g., logical unit numbers (LUNs)), to instantiate VMs in the destination environment, and to chain load the boot disks to launch the VMs in a different virtualization environment.

Claim (Index 14):
The method of  claim 11 , wherein creating the storage target comprises limiting a sub-file clone of the first virtual disk to one or more data ranges of the first virtual disk that do not include virtual disk metadata corresponding to the first virtualization environment.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 99.0
- Lexical Diversity: 1.67045
- Patent Class: 718.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15387416', '14738963', '13744655', '15909960', '15422874']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4102154335106005
- 35 USC 102 Novelty (BERT): 0.5531343695551212
- Combined Prediction Score: 0.4245073271150525
- Mean Citation Score: 217.39297
- Max Citation Score: 329.4671
- Similarity Product: 246.9280821240604

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