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Essentiality of resource and service-task characterization in the coordinated fog-to-cloud paradigm

Author
Sengupta, S.; Garcia, J.; Masip, X.
Type of activity
Presentation of work at congresses
Name of edition
7th IEEE International Conference on Smart Communications in Network Technologies
Date of publication
2018
Presentation's date
2018-10-18
Book of congress proceedings
2018 International Conference on Smart Communications in Network Technologies (SaCoNeT 2018): El Oued, Algeria: 27-31 October 2018
First page
249
Last page
254
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
DOI
https://doi.org/10.1109/SaCoNeT.2018.8585732 Open in new window
Project funding
Management of a hierarchical cloud architecture for IoT scenarios: Fogging cloud
Towards an Open, Secure, Decentralized and Coordinated Fog-to-Cloud Management Ecosystem
Repository
http://hdl.handle.net/2117/128467 Open in new window
URL
https://ieeexplore.ieee.org/document/8585732 Open in new window
Abstract
Fog-to-Cloud (F2C) computing is an emerging computational platform. By combing three existing computing platform layers (i.e., cloud, fog, and IoT), F2C provides an excellent framework for managing and coordinating the various participating resources in a smart environment scenario. Efficient management of these kinds of diverse resources is one of the critical tasks in a F2C system. Also, it must be considered that different types of services are offered by any smart environmental system. So, b...
Citation
Sengupta, S.; Garcia, J.; Masip, X. Essentiality of resource and service-task characterization in the coordinated fog-to-cloud paradigm. A: IEEE International Conference on Smart Communications in Network Technologies. "2018 International Conference on Smart Communications in Network Technologies (SaCoNeT 2018): El Oued, Algeria: 27-31 October 2018". Institute of Electrical and Electronics Engineers (IEEE), 2018, p. 249-254.
Keywords
Fog-to-cloud (F2C), Internet of things (IoT), Resources management, Taxonomy
Group of research
CRAAX - Advanced Network Architectures Lab

Participants