Database Reference
In-Depth Information
Service Delivery & Utility Manager (SDUM) performs a dual role. On
one hand, it combines the data streams as indicated by service work flows
in order to deliver the requested service. On the other hand, this component
performs service metering to keep track of individual service usage.
Request Definition and Request Presentation components enable on-the-
fly specification and visualisation of service requests to the OpenIoT plat-
form. The component selects mashups from an appropriate library in order
to facilitate service definition and presentation.
3.2 OpenIoT Service Oriented Approach
Service formulation and delivery in OpenIoT is designed according to the fol-
lowing properties:
On-demand: Service formulation and delivery in OpenIoT should be performed
on-demand. Therefore, service formulation should provide the means to
dynamically select sensors in order to meet the service request demand.
Semantic Discovery: The openness of OpenIoT enables data from multitude
of heterogeneous source to be shared across domain. To search across data
streams, a semantic discovery mechanism is implemented to meet the require-
ments of dynamic service composition.
Cloud-based: OpenIoT services are provided in a cloud environment. Its central
component is a scalable sensor cloud infrastructure, which provides sensor
data access services.
Service-Oriented: OpenIoT is service-oriented and requests result in the deploy-
ment of services. This may require the composition of other services, such as
services for accessing data streams in the cloud.
4 Phenonet-OpenIoT Architecture and Implementation
4.1 Phenonet-OpenIoT
The integration of OpenIoT within the Phenonet project is a starting point
for several interesting activities that are beneficial to both projects. OpenIoT
aim at breaking application silos in the Phenonet project allowing a community
of users at CSIRO to discover and reuse the data collected via various experi-
ments. In particular, Phenonet benefits from OpenIoT middleware platform that
facilitates the integration of new sensor types and do-it-yourself data analysis
tools through exploiting the richness of semantically annotated sensor data and
dynamic discovery capabilities. On the other hand, the availability of phenonet
data in the OpenIoT cloud benefits OpenIoT in showcasing a practical smart
farming use case. The successful deployment and use of OpenIoT in the scope
of Phenonet experiments is an ideal showcase for the several capabilities of the
OpenIoT platform, such as easy integration of any type of sensors, support for
data collection and unification at a large scale, as well as flexible application
development based on the OpenIoT do-it-yourself tools.
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