Characterization and Efficient Management of Big Data in IoT-Driven Smart City Development
| Autor: | Vangalur S. Alagar, Alaa Alsaig, Zaki Chammaa, Nematollaah Shiri |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
internet of things (IoT)
smart cities databases Computer science Service delivery framework Big data 0211 other engineering and technologies 02 engineering and technology computer.software_genre lcsh:Chemical technology Biochemistry Article Analytical Chemistry data model Development (topology) big data Smart city 0502 economics and business 11. Sustainability lcsh:TP1-1185 Electrical and Electronic Engineering Instrumentation data integration business.industry 05 social sciences 021107 urban & regional planning Data science Atomic and Molecular Physics and Optics Data model Information and Communications Technology Scalability Internet of Things business computer 050203 business & management Data integration |
| Zdroj: | Sensors (Basel, Switzerland) Sensors, Vol 19, Iss 11, p 2430 (2019) Sensors Volume 19 Issue 11 |
| ISSN: | 1424-8220 |
| Popis: | Smart city is an emerging initiative for integrating Information and Communication Technologies (ICT) in effective ways to support development of smart cities with enhanced quality of life for its citizens through safe and secure context-aware services. Major technical challenges to realize smart cities include resource use optimization, service delivery without interruption at all times in all aspects, minimization of costs, and reduction of resource consumption. To address these challenges, new techniques and technologies are required for modeling and processing the big data generated and used through the underlying Internet of Things (IoT). To this end, we propose a data-centric approach to IoT in conceptualizing the &ldquo things&rdquo from a service-oriented perspective and investigate efficient ways to identify, integrate, and manage big data. The data-centric approach is expected to better support efficient management of data with complexities inherent in IoT-generated big data. Furthermore, it supports efficient and scalable query processing and reasoning techniques required in development of smart city applications. This article redresses the literature and contributes to the foundations of smart cities applications. |
| Databáze: | OpenAIRE |
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