Loading...
Loading...

Go to the content (press return)

Data Preservation through Fog-to-Cloud (F2C) 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
IEEE 2nd International Conference on Fog and Edge Computing
Date of publication
2018
Presentation's date
2018-05-15
Book of congress proceedings
ICFEC 2018 - IEEE 2nd International Conference on Fog and Edge Computing: Washington DC, United States: May 1-3, 2013: proceedings book
First page
1
Last page
9
DOI
https://doi.org/10.1109/CFEC.2018.8358732 Open in new window
Repository
http://hdl.handle.net/2117/121376 Open in new window
URL
https://ieeexplore.ieee.org/document/8358732/ Open in new window
Abstract
A vast amount of data is constantly being produced in the world from several sources, including the IoT at smart cities. Such complex universe of digital data is being set up through these daily accumulated fresh data over other historical repositories. This data can then be used in different forms and then be reused in further processes, hence, drawing the life cycle of data. Conventionally, the smart city resources management are based on cloud models where sensors data are collected to prepar...
Citation
Sinaeepourfard, A., Garcia, J., Masip, X., Marin, E. Data Preservation through Fog-to-Cloud (F2C) Data Management in Smart Cities. A: IEEE International Conference on Fog and Edge Computing. "Proceedings of 2nd IEEE International Conference on Fog and Edge Computing (ICFEC 2018),". 2018, p. 1-9.
Keywords
Cloud data managements, Cloud technologies, Computing capability, Critical applications, Data LifeCycle model, Data Management, Data Preservation, Data lifecycle, Data management architecture, Data preservations, Digital storage, Edge computing, Fog, Fog computing, Fog-to-Cloud Data Management, Grid computing, Information management, Life cycle, Resources management, Smart City Cluster computing, Smart city
Group of research
CRAAX - Advanced Network Architectures Lab

Participants