View Materialization for Query Processing in IoT Systems

Abderrazak Sebaa
Additional contact information
Abderrazak Sebaa: Higher School of Sciences and Technologies of Computing and Digital (ESTIN), Bejaia, Algeria & LIMED Laboratory, Faculty of Exact Sciences, University of Bejaia, Bejaia, Algeria

International Journal of Technology Diffusion (IJTD), 2022, vol. 13, issue 1, 1-19

Abstract: In a highly dynamic environment like the Internet of Things, data is being continuously generated by IoT devices. These amounts of data make its processing and querying challenging tasks. Materialized views are ideal for query processing optimization by caching the results of queries. However, one of the main issues of the views materialization is their inconsistency with data sources. For this reason, we present a novel approach of query answering and data management in IoT systems. Our approach is based on new materialization and maintenance of views strategies. This last was carried out by factoring maintenance treatments of identical views and those sharing sources using a clustering technique. The results of experiments show that our approach is suitable for query processing under IoT environments.

Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJTD.300746 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jtd000:v:13:y:2022:i:1:p:1-19

Access Statistics for this article

International Journal of Technology Diffusion (IJTD) is currently edited by Ali Hussein Saleh Zolait

More articles in International Journal of Technology Diffusion (IJTD) from IGI Global
Bibliographic data for series maintained by Journal Editor ().