Resource allocation model for sensor clouds under the sensing as a service paradigm
The Sensing as a Service is emerging as a new Internet of Things (IoT) business model for sensors and data sharing in the cloud. Under this paradigm, a resource allocation model for the assignment of both sensors and cloud resources to clients/applications is proposed. This model, contrarily to prev...
| Autor principal: | |
|---|---|
| Outros Autores: | , |
| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2019
|
| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10400.1/12523 |
| País: | Portugal |
| Oai: | oai:sapientia.ualg.pt:10400.1/12523 |
| Resumo: | The Sensing as a Service is emerging as a new Internet of Things (IoT) business model for sensors and data sharing in the cloud. Under this paradigm, a resource allocation model for the assignment of both sensors and cloud resources to clients/applications is proposed. This model, contrarily to previous approaches, is adequate for emerging IoT Sensing as a Service business models supporting multi-sensing applications and mashups of Things in the cloud. 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 the allocation of fewer devices, while selecting the most adequate ones for application needs. |
|---|