METHOD FOR VIRTUALIZING LARGE-SCALE DISTRIBUTED HETEROGENEOUS DATA

摘要

A virtualization method for large-scale distributed heterogeneous data includes using a three-layer structure and a two-level mapping. According to different degrees of abstraction, 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 its own 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 implementing of data interoperability.