Patent №
US 9,715,536
Granted
—
Owner
—
Lab
—
AI components
1
hardware
Assignment
None on record
Dataset
AIPD
2023_r1 edition
Application
14400890
A virtualization method for large-scale distributed heterogeneous data includes using a three-layer structure and a two-level mapping. According to different abstraction degrees, a data model is defined as three layers from low to high: a physical layer, a virtual table layer, and a virtual view layer. Each layer has a proprietary data model. The two-level mapping comprises a PV mapping and a VV mapping, which is a transformation mechanism of the data models of different layers. As a result, the virtualization method virtualizes decentralized heterogeneous data, and is applicable to data interoperability treatments.