Evolving Principles of Big Data Virtualization

被引：1

作者：

Bogadanov, Alexander ^{[1
]}

Degtyarev, Alexander ^{[1
,3
]}

Shchegoleva, Nadezhda ^{[1
]}

Khvatov, Valery ^{[2
]}

Korkhov, Vladimir ^{[1
,3
]}

机构：

[1] St Petersburg State Univ, St Petersburg, Russia

[2] DGT Technol AG, Enschede, Netherlands

[3] Plekhanov Russian Univ Econ, 36 Stremyanny Per, Moscow 117997, Russia

来源：

COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2020, PT VI | 2020年 / 12254卷

关键词：

Big Data; Data virtualization; Virtual personal supercomputer; Data network; Data marketplaces;

D O I：

10.1007/978-3-030-58817-5_6

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The fact that over 2000 programs exist for working with various types of data, including Big Data, makes the issue of flexible storage a quintessential one. Storage can be of various types, including portals, archives, showcases, data bases of different varieties, data clouds and networks. They can have synchronous or asynchronous computer connections. Because the type of data is frequently unknown a priori, there is a necessity for a highly flexible storage system, which would allow to easily switch between various sources and systems. Combining the concept of virtual personal supercomputer with the classification of Big Data that accounts for different storage schemes would solve this issue.

引用

页码：67 / 81

页数：15

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