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Proactive vs reactive failure recovery assessment in combined fog-to-cloud (F2C) systems

Author
Barbosa, V.; Masip, X.; Marin, E.; Ramirez, W.; Sanchez, S.
Type of activity
Presentation of work at congresses
Name of edition
2017 22nd International Workshop on Computer-aided Modeling Analysis and Design of Communication Links and Networks
Date of publication
2017
Presentation's date
2017-06-19
Book of congress proceedings
2017 IEEE 22nd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD 2017): Lund, Sweden: 19-21 June 2017
First page
1
Last page
5
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
DOI
https://doi.org/10.1109/CAMAD.2017.8031528 Open in new window
Repository
http://hdl.handle.net/2117/112502 Open in new window
URL
http://ieeexplore.ieee.org/document/8031528/ Open in new window
Abstract
The increasing number of end user devices at the edge of the network, along with their ever increasing computing capacity, as well as the advances in Data Center technologies, paved the way for the generation of Internet of Things (IoT). Several IoT services have been deployed leveraging Cloud Computing and, more recently, Fog Computing. In order to enable efficient control of cloud and fog premises, Fog-to-Cloud (F2C) has been recently proposed as a distributed architecture for coordinated mana...
Citation
Souza, V., Masip, X., Marin, E., Ramirez, W., Sanchez, S. Proactive vs reactive failure recovery assessment in combined fog-to-cloud (F2C) systems. A: IEEE International Workshop on Computer-aided Modeling Analysis and Design of Communication Links and Networks. "2017 IEEE 22nd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD 2017): Lund, Sweden: 19-21 June 2017". Lund: Institute of Electrical and Electronics Engineers (IEEE), 2017, p. 1-5.
Keywords
Cloud computing, Computer centres, Internet of Things, Knapsack problems, System recovery
Group of research
CRAAX - Advanced Network Architectures Lab

Participants