Modeling of sensor clouds under the sensing as a service paradigm

Abstract

5G technologies will facilitate the emergence of applications integrating multiple physical Things. In such scenarios, Cloud-integrated platforms end up having a key role due to their storage and processing capabilities. Therefore, a clear understanding of Sensor Clouds, and on how Cloud mechanisms can be orchestrated to better face requests, becomes a very relevant issue as Sensing as a Service models emerge. This article presents a model for Sensor Clouds, suitable for emerging IoT related Sensing as a Service business models. Such a model is used to assess the impact of resource allocation approaches and unveil the trade-off between scalability, elasticity and quality of experience. Results show that the best resource allocation approach is highly dependent on the suppliers/consumers scenario.