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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