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

被引：0
作者：
Poopak Azad
Nima Jafari Navimipour
Amir Masoud Rahmani
Arash Sharifi
机构：
[1] Islamic Azad University,Department of Computer Engineering, Science and Research Branch
[2] Islamic Azad University,Department of Computer Engineering, Tabriz Branch
来源：
Cluster Computing | 2020年 / 23卷
关键词：
Data management; Data storage; Internet of things; Systematic literature review;
D O I：
暂无
中图分类号：
学科分类号：
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.
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页码：1185 / 1198
页数：13
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