An Edge-Fog-Cloud Architecture of
Streaming Analytics for Internet of Things Applications.
SENSORS 2019;
19:s19163594. [PMID:
31426586 PMCID:
PMC6720178 DOI:
10.3390/s19163594]
[Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/27/2019] [Revised: 08/14/2019] [Accepted: 08/16/2019] [Indexed: 11/23/2022]
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.
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