A Multi-Criteria Decision Making Approach for Cloud-Fog Coordination
Source of Publication
Advances in Intelligent Systems and Computing
© 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.
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
Yahya, Fadwa; Maamar, Zakaria; and Boukadi, Khouloud, "A Multi-Criteria Decision Making Approach for Cloud-Fog Coordination" (2020). All Works. 170.
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