© 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
Available at: http://works.bepress.com/zakaria-maamar/41/