Sensing and actuation as a service (SAaaS) is a paradigm, modelled after cloud computing and service-oriented architectures, which features a 'device-centric' IaaS-like provisioning model for actual, even if virtual, sensors and actuators, against the 'data-centric' one mainly just gathering and manipulating sensed data. In the past, we outlined a reference architecture meant to address the requirements SAaaS brings about, such as the involvement of both mobiles and sensor networks. This was a first step towards a static view of the solution, still to be expanded to develop a clearer picture about the application of the approach to specific use cases. This paper thus addresses the topic by providing a modular architecture described from both static and dynamic perspective of a SAaaS framework implementing the basic facilities required for building up a sensing cloud. We thus identified, designed and implemented a mobile crowdsensing app to explore an interesting use case, described to showcase a practical and useful scenario where an SAaaS cloud may be successfully employed.

A Framework For Device-centric Sensing Cloud

DISTEFANO, SALVATORE;MERLINO, GIOVANNI;PULIAFITO, Antonio
2015

Abstract

Sensing and actuation as a service (SAaaS) is a paradigm, modelled after cloud computing and service-oriented architectures, which features a 'device-centric' IaaS-like provisioning model for actual, even if virtual, sensors and actuators, against the 'data-centric' one mainly just gathering and manipulating sensed data. In the past, we outlined a reference architecture meant to address the requirements SAaaS brings about, such as the involvement of both mobiles and sensor networks. This was a first step towards a static view of the solution, still to be expanded to develop a clearer picture about the application of the approach to specific use cases. This paper thus addresses the topic by providing a modular architecture described from both static and dynamic perspective of a SAaaS framework implementing the basic facilities required for building up a sensing cloud. We thus identified, designed and implemented a mobile crowdsensing app to explore an interesting use case, described to showcase a practical and useful scenario where an SAaaS cloud may be successfully employed.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11570/2963768
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