Role Of IoT Technologies In Big Data Management Systems: A Review And Smart Grid Case Study
Abstract
Empowered by Internet of Things (IoT) and cloud computing platforms, the concept of smart cities is making a transition from conceptual models to development and implementation phases. Multiple smart city initiatives and services such as Smart Grid and Smart Meters have emerged that have led to the accumulation of massive amounts of energy big data. Big data is typically characterized by five distinct features namely, volume, velocity, variety, veracity, and value. To gain insights and to monetize big data, data has to be collected, stored, processed, analyzed, mined, and visualized. This paper identifies the primary layers of a big data architecture with start-of-the-art communication, storage, and processing technologies that can be utilized to gain meaningful insights and intelligence from big data. In addition, this paper gives an in-depth overview for research and development who intend to explore the various techniques and technologies that can be implemented for harnessing big data value utilizing the recent big data specific processing and visualization tools. Finally, a use case model utilizing the above mentioned technologies for Smart Grid is presented to demonstrate the energy big data road map from generation to monetization. Our key findings highlight the significance of selecting the appropriate big data tools and technologies for each layer of big data architecture, detailing their advantages and disadvantages. We pinpoint the critical shortcomings of existing works, particularly the lack of a unified framework that effectively integrates these layers for smart city applications. This gap presents both a challenge and an opportunity for future research, suggesting a need for more holistic and interoperable solutions in big data management and utilization.
Recommended Citation
A. R. Al-Ali et al., "Role Of IoT Technologies In Big Data Management Systems: A Review And Smart Grid Case Study," Pervasive and Mobile Computing, vol. 100, article no. 101905, Elsevier, May 2024.
The definitive version is available at https://doi.org/10.1016/j.pmcj.2024.101905
Department(s)
Computer Science
Keywords and Phrases
Big data; Big data analytic and visualization; Distributed file system; Internet of Things (ioT); Smart cities; Smart grid
International Standard Serial Number (ISSN)
1574-1192
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Elsevier, All rights reserved.
Publication Date
01 May 2024
Comments
American University of Sharjah, Grant None