Application of Data Distribution Technology in Smart Cities

被引：0

作者：

He, Peixin ^{[1
]}

He, Jing ^{[2
]}

Yao, Haichang ^{[3
]}

Li, Peng ^{[3
]}

Ji, Yimu ^{[3
]}

机构：

[1] Nanjing Univ Finance & Econ, Nanjing, Peoples R China

[2] Swinburne Univ Technol, Melbourne, Vic, Australia

[3] Nanjing Univ Posts & Telecommun, Nanjing, Jiangsu, Peoples R China

来源：

7TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND QUANTITATIVE MANAGEMENT (ITQM 2019): INFORMATION TECHNOLOGY AND QUANTITATIVE MANAGEMENT BASED ON ARTIFICIAL INTELLIGENCE | 2019年 / 162卷

关键词：

smart city; data processing; data distribution; data fusion; heterogeneous database;

D O I：

10.1016/j.procs.2019.11.291

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

While the Internet has been proposed for a long time, the Internet of Things is a relatively new concept which is constantly evolving, and it is also an embodiment of the practical use for the construction of smart cities. In this study of smart cities, we first illustrate the data processing problems in smart cities, especially the data distribution challenges, and then introduce the application of improved algorithms for data matching and acceleration. Secondly, big data center node distribution mechanism and data processing method are proposed. Finally, we demonstrate how to conduct data fusion operation by studying the similarity in a heterogeneous database. (C) 2020 The Authors. Published by Elsevier B.V.

引用

页码：324 / 330

页数：7

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