The role of structured and unstructured data managing mechanisms in the Internet of things

被引:34
作者
Azad, Poopak [1 ]
Navimipour, Nima Jafari [2 ]
Rahmani, Amir Masoud [1 ]
Sharifi, Arash [1 ]
机构
[1] Islamic Azad Univ, Dept Comp Engn, Sci & Res Branch, Tehran, Iran
[2] Islamic Azad Univ, Dept Comp Engn, Tabriz Branch, Tabriz, Iran
来源
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS | 2020年 / 23卷 / 02期
关键词
Data management; Data storage; Internet of things; Systematic literature review; BIG DATA ANALYTICS; DATA-MANAGEMENT; STORAGE-SYSTEM; IOT DATA; SECURE; CHALLENGES; SCHEME;
D O I
10.1007/s10586-019-02986-2
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Internet of Things (IoT) has the idea of receiving data and sending them for each object within the communication network. One of the main issues in this type of networks is handling a growing volume of data with various data sources and data types to satisfy the performance requirements of applications. In this regard, data management in the IoT plays an important role in its efficient operations and has become a major research topic. However, the data management has a crucial role in the IoT, there is not any comprehensive and systematic work to analyze its approaches. Thus, main propose of this paper is to systematically review and study the existing data management approaches in the IoT. The data management approaches are classified into three main classes, including SQL database, NoSQL database, and graph database. In addition, the detailed comparison of the important mechanisms in each category brings a recommendation for further works.
引用
收藏
页码:1185 / 1198
页数:14
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