Abstract
As the number of smart Things grows in the Internet of Things, so does the focus on Cloud-based Sensing as a Service for sensors and data sharing. Under this paradigm, a resource allocation model for the assignment of both sensors and Cloud resources to consumers/applications is proposed. This semantics-based resource allocation model is adequate for many emerging IoT Se-aaS business models, like the ones supporting multi-sensing applications and/or integration of data from multiple domains. A heuristic algorithm is also proposed having this model as a basis. Results show that the approach is able to incorporate strategies that lead to a more efficient use of devices and Cloud resources.
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Notes
- 1.
The symbol \(\triangleq \) means equal by definition, in our case logically/semantically equivalent.
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This work was supported by FCT (Foundation for Science and Technology) from Portugal within CEOT (Center for Electronic, Optoelectronic and Telecommunications) and UID/MULTI/00631/2019 project.
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Guerreiro, J., Rodrigues, L., Correia, N. (2020). On the Allocation of Resources in Sensor Clouds Under the Se-aaS Paradigm. In: Antona, M., Stephanidis, C. (eds) Universal Access in Human-Computer Interaction. Applications and Practice. HCII 2020. Lecture Notes in Computer Science(), vol 12189. Springer, Cham. https://doi.org/10.1007/978-3-030-49108-6_39
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