@Article{s19163594,
AUTHOR = {Cao, Hung and Wachowicz, Monica},
TITLE = {An Edge-Fog-Cloud Architecture of Streaming Analytics for Internet of Things Applications},
JOURNAL = {Sensors},
VOLUME = {19},
YEAR = {2019},
NUMBER = {16},
ARTICLE-NUMBER = {3594},
URL = {https://www.mdpi.com/1424-8220/19/16/3594},
ISSN = {1424-8220},
ABSTRACT = {Exploring Internet of Things (IoT) data streams generated by smart cities means not only transforming data into better business decisions in a timely way but also generating long-term location intelligence for developing new forms of urban governance and organization policies. This paper proposes a new architecture based on the edge-fog-cloud continuum to analyze IoT data streams for delivering data-driven insights in a smart parking scenario.},
DOI = {10.3390/s19163594}
}