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A framework for device-centric sensing cloud created by Salvatore Distefano, Giovanni Merlino and Antonio Puliafito

By: Contributor(s): Material type: TextTextSeries: International journal of cloud computing ; Volume 4, number 2 ,United Kingdom: Inderscience, 2015Content type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISSN:
  • 2043-9989
Subject(s): LOC classification:
  • QA76.S85 INT
Online resources: 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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Item type Current library Call number Vol info Status Notes Date due Barcode
Journal Article Journal Article Main Library - Special Collections QA76.S85 INT (Browse shelf(Opens below)) Vol. 14, no.2 (pages150-176) Not for loan For in house use only

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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