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.
CITATION STYLE
Yahya, F., Maamar, Z., & Boukadi, K. (2020). A Multi-Criteria Decision Making Approach for Cloud-Fog Coordination. In Advances in Intelligent Systems and Computing (Vol. 1151 AISC, pp. 1150–1161). Springer. https://doi.org/10.1007/978-3-030-44041-1_99
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