Towards a seamless coordination of cloud and fog: illustration through the internet-of-things

Full text not archived in this repository.

Please see our End User Agreement.

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

Maamar, Z., Baker, T., Faci, N., Ugljanin, E., Al-Khafajiy, M. orcid id iconORCID: https://orcid.org/0000-0001-6561-0414 and Burégio, V. (2019) Towards a seamless coordination of cloud and fog: illustration through the internet-of-things. In: 34th ACM/SIGAPP Symposium on Applied Computing, 8-12 Apr 2019, Limassol, Cyprus, pp. 2008-2015. doi: 10.1145/3297280.3297477

Abstract/Summary

With the increasing popularity of the Internet-of-Things (IoT), organizations are revisiting their practices as well as adopting new ones so they can deal with an ever-growing amount of sensed and actuated data that IoT-compliant things generate. Some of these practices are about the use of cloud and/or fog computing. The former promotes "anything-as-a-service" and the latter promotes "process data next to where it is located". Generally presented as competing models, this paper discusses how cloud and fog could work hand-in-hand through a seamless coordination of their respective "duties". This coordination stresses out the importance of defining where the data of things should be sent (either cloud, fog, or cloud&fog concurrently) and in what order (either cloud then fog, fog then cloud, or fog&cloud concurrently). Applications' concerns with data such as latency, sensitivity, and freshness dictate both the appropriate recipients and the appropriate orders. For validation purposes, a healthcare-driven IoT application along with an in-house testbed, that features real sensors and fog and cloud platforms, have permitted to carry out different experiments that demonstrate the technical feasibility of the coordination model.

Altmetric Badge

Item Type Conference or Workshop Item (Paper)
URI https://reading-clone.eprints-hosting.org/id/eprint/88480
Identification Number/DOI 10.1145/3297280.3297477
Refereed Yes
Divisions No Reading authors. Back catalogue items
Science > School of Mathematical, Physical and Computational Sciences > Department of Computer Science
Download/View statistics View download statistics for this item

University Staff: Request a correction | Centaur Editors: Update this record

Search Google Scholar