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A novel architecture for efficient fog to cloud data management in smart cities

Author
Sinaeepourfard, A.; Garcia, J.; Masip, X.; Marin, E.
Type of activity
Presentation of work at congresses
Name of edition
37th IEEE International Conference on Distributed Computing Systems
Date of publication
2017
Presentation's date
2017-06-05
Book of congress proceedings
IEEE 37th International Conference on Distributed Computing Systems: 5–8 June 2017, Atlanta, Georgia: proceedings
First page
2622
Last page
2623
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
DOI
https://doi.org/10.1109/ICDCS.2017.202 Open in new window
Repository
http://hdl.handle.net/2117/112686 Open in new window
URL
http://ieeexplore.ieee.org/document/7980258/ Open in new window
Abstract
Traditional smart city resources management rely on cloud based solutions to provide a centralized and rich set of open data. The advantages of cloud based frameworks are their ubiquity, (almost) unlimited resources capacity, cost efficiency, as well as elasticity. However, accessing data from the cloud implies large network traffic, high data latencies, and higher security risks. Alternatively, fog computing emerges as a promising technology to absorb these inconveniences. The use of devices at...
Citation
Sinaeepourfard, A., García, J., Masip, X., Marín, E. A novel architecture for efficient fog to cloud data management in smart cities. A: IEEE International Conference on Distributed Computing Systems. "IEEE 37th International Conference on Distributed Computing Systems: 5–8 June 2017, Atlanta, Georgia: proceedings". Institute of Electrical and Electronics Engineers (IEEE), 2017, p. 2622-2623.
Keywords
Data Lifecycle (DLC) model, Data aggregation, Data management, Fog-to-Cloud (F2C) computing, Smart city
Group of research
CRAAX - Advanced Network Architectures Lab

Participants

Attachments