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Article
A Multi-Criteria Decision Making Approach for Cloud-Fog Coordination
Advances in Intelligent Systems and Computing
  • Fadwa Yahya, Prince Sattam Bin Abdulaziz University
  • Zakaria Maamar, Zayed University
  • Khouloud Boukadi, University of Sfax
Document Type
Conference Proceeding
Publication Date
1-1-2020
Abstract

© 2020, Springer Nature Switzerland AG. This paper presents a multi-criteria cloud-fog coordination model to recommend where data that things generate 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). The model considers end-users’ concerns such as data latency, sensitivity, and freshness. The coordination model uses fuzzy logic when addressing these concerns in preparation for producing the recommendations. 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 both the multi-criteria cloud-fog coordination model and the fuzzy-logic-based approach.

ISBN
9783030440404
Publisher
Springer
Disciplines
Keywords
  • Carry logic,
  • Computer circuits,
  • Decision making,
  • Electroplating shops,
  • Fuzzy logic,
  • Cloud platforms,
  • Coordination model,
  • Data latencies,
  • End users,
  • Fuzzy logic based approach,
  • IOT applications,
  • Multi criteria decision making,
  • Multi-criteria,
  • Fog
Scopus ID
85083705926
Indexed in Scopus
Yes
Open Access
No
https://doi.org/10.1007/978-3-030-44041-1_99
Citation Information
Fadwa Yahya, Zakaria Maamar and Khouloud Boukadi. "A Multi-Criteria Decision Making Approach for Cloud-Fog Coordination" Advances in Intelligent Systems and Computing Vol. 1151 AISC (2020) p. 1150 - 1161 ISSN: <a href="https://v2.sherpa.ac.uk/id/publication/issn/2194-5365" target="_blank">2194-5365</a>
Available at: http://works.bepress.com/zakaria-maamar/41/