A Survey on Big IoT Data Indexing: Potential Solutions, Recent Advancements, and Open Issues

Zineddine Kouahla, Ala-Eddine Benrazek, Mohamed Amine Ferrag, Brahim Farou, Hamid Seridi, Muhammet Kurulay, Adeel Anjum and Alia Asheralieva
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Zineddine Kouahla: Labstic Laboratory, Department of Computer Science, Guelma University, Guelma 24000, Algeria
Ala-Eddine Benrazek: Labstic Laboratory, Department of Computer Science, Guelma University, Guelma 24000, Algeria
Mohamed Amine Ferrag: Labstic Laboratory, Department of Computer Science, Guelma University, Guelma 24000, Algeria
Brahim Farou: Labstic Laboratory, Department of Computer Science, Guelma University, Guelma 24000, Algeria
Hamid Seridi: Labstic Laboratory, Department of Computer Science, Guelma University, Guelma 24000, Algeria
Muhammet Kurulay: Department of Mathematics Engineering, University of Yildiz Technical, Istanbul 34349, Turkey
Adeel Anjum: Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
Alia Asheralieva: Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China

Future Internet, 2021, vol. 14, issue 1, 1-44

Abstract: The past decade has been characterized by the growing volumes of data due to the widespread use of the Internet of Things (IoT) applications, which introduced many challenges for efficient data storage and management. Thus, the efficient indexing and searching of large data collections is a very topical and urgent issue. Such solutions can provide users with valuable information about IoT data. However, efficient retrieval and management of such information in terms of index size and search time require optimization of indexing schemes which is rather difficult to implement. The purpose of this paper is to examine and review existing indexing techniques for large-scale data. A taxonomy of indexing techniques is proposed to enable researchers to understand and select the techniques that will serve as a basis for designing a new indexing scheme. The real-world applications of the existing indexing techniques in different areas, such as health, business, scientific experiments, and social networks, are presented. Open problems and research challenges, e.g., privacy and large-scale data mining, are also discussed.

Keywords: big data; Internet of Things; indexing; information retrieval; query (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2021
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