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Cluster Computing
Erschienen in: Cluster Computing 2/2020

19.09.2019

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

verfasst von: Poopak Azad, Nima Jafari Navimipour, Amir Masoud Rahmani, Arash Sharifi

Erschienen in: Cluster Computing | Ausgabe 2/2020

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Abstract

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.
Vorheriger Artikel Service selection mechanisms in the Internet of Things (IoT): a systematic and comprehensive study
Nächster Artikel Improving resource allocation in software-defined networks using clustering

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Metadaten
Titel
The role of structured and unstructured data managing mechanisms in the Internet of things
verfasst von
Poopak Azad
Nima Jafari Navimipour
Amir Masoud Rahmani
Arash Sharifi
Publikationsdatum
19.09.2019
Verlag
Springer US
Erschienen in
Cluster Computing / Ausgabe 2/2020
Print ISSN: 1386-7857
Elektronische ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-019-02986-2

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