Guest Editorial Special Issue on Big Data Analytics and Management in Internet of Things
| Autor: | Yinglong Xia, Albert Y. Zomaya, Vincenzo Piuri, David G. Belanger, Huansheng Ning |
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| Rok vydání: | 2015 |
| Předmět: |
Computer Networks and Communications
business.industry Computer science Data management Big data Data science Computer Science Applications Visualization Variety (cybernetics) World Wide Web Hardware and Architecture Signal Processing business Internet of Things Wireless sensor network Information Systems |
| Zdroj: | IEEE Internet of Things Journal. 2:265-267 |
| ISSN: | 2327-4662 |
| DOI: | 10.1109/jiot.2015.2459291 |
| Popis: | The papers in this special issue provide a highly exciting opportunity to explore the interdisciplinary nature of the management of Internet of Things (IoT) and big data analytics. Both IoT and big data keep making headlines everywhere, drawing a large amount of research interest, a fast expanding universe of applications, and highlighting unprecedented challenges. On one hand, the IoT has been generating widespread research interest across a variety of technical areas, including the sensor network management, data communication, temporal and spatial data analysis, and visualization. On the other hand, big data are providing innovative solutions addressing the challenges posed by data volume, velocity, variety, and veracity, known as the 4Vs. Instead of being overwhelmed by these issues, researchers and scholars are making significant progress in generating value out of big data. One such effort is to exploit the synergies between IoT and big data, so that both have increased impact. This issue is designed to present innovative ideas and emerging solutions in this new interdisciplinary area. |
| Databáze: | OpenAIRE |
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