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...
Main Author: | |
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Other Authors: | , |
Format: | article |
Language: | eng |
Published: |
2019
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Subjects: | |
Online Access: | http://hdl.handle.net/10400.1/12523 |
Country: | Portugal |
Oai: | oai:sapientia.ualg.pt:10400.1/12523 |
Summary: | 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. |
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