RWO Services Testing Framework
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Mechanisms for Real World Services, presented in the session: "Empowering IoT through virtual objects and cognitive technologies", at the Internet of Things Workshop, during the Future Internet Week, Poznan, Poland, 24-28 October 2011
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RWO Services Testing Framework
- 1. Mechanisms to exploit Real World Objects in Services Klaus Moessner, University of Surrey 07/11/2011 Public 1
- 2. Outline • Virtualising the real world – the iCore approach to using real objects and creating RWO enriched services in the IoS • The issues with service creation – RWOs as service components – IoT.est service testing 07/11/2011 Public 2
- 3. virtualising the real world the iCore approach 07/11/2011 Public 3 RWO VO VO VO CVO CVO Objects profiles app logic generate VO generate CVO handle VOhandle RWO provide info provide SL “enriched objects” “clustered objects” & service instances service requirements
- 4. the iCore approach • VO fabric creates and manage the semantic description of VOs • cognitive mechanisms in the VO factory are used for objects awareness and maintain the handle to VO • service logic instantiates the reconfigurable application on the CVO fabric • CVO fabric looks up and discovers appropriate VO/CVO or deploys mechanisms for composition of new CVOs • cognitive mechanisms are used to create the service logic based on the user/application requirements and preferences 07/11/2011 Public 4
- 5. the iCore approach 07/11/2011 Public 5 Semantic technologies for maintaining the handle to Virtual Objects Complex event prosessing, service composition technologiesCognitive management and control framework Architecture reference model Context awareness, cognitive process technologies Alignment with EU IoT activities, Overall cognitive process optimization, iCore security CVO VO VO VO VO CVO VO registries CVO registries User context registries Service logic factory VO level cognitive processes CVO level cognitive processes User level cognitive processes Semantic technologies for maintaining the handle to Virtual Objects Complex event prosessing, service composition technologiesCognitive management and control framework Architecture reference model Context awareness, cognitive process technologies Alignment with EU IoT activities, Overall cognitive process optimization, iCore security CVO VO VO VO VO CVO VO registries CVO registries User context registries Service logic factory VO level cognitive processes CVO level cognitive processes User level cognitive processes
- 6. issues in service creation (with RWOs) • Service components – availability – stability – usability – … • Service composition – integration and interoperation – testing before deployment 07/11/2011 Public 6
- 7. Internet of Things Environment for Service Creation and Testing (IoT.est)
- 8. IoT.est- Bridging the gap Process Automation Framework
- 9. IoT.est – a snapshot • IoT.est will develop a test-driven service creation environment (SCE) for Internet of Things enabled business services. • The SCE will enable the acquisition of data and control/actuation of sensors, objects and actuators. • The project will provide the means and tools to define and instantiate IoT services that exploit data across domain boundaries; • IoT.est will facilitate run-time monitoring and will enable autonomous service adaptation to environment/context and network parameter (e.g. QoS) changes.
- 10. IoT.est and Service Frameworks • IoT enabled Business Services: Semantic Description • Service Composition: A Knowledge based Approach • Service Components: Re-usable, Interoperable and Adaptive • Abstraction: Mapping to Heterogeneous Platforms and Large Scale Deployment • Testing (Design Time): Automated Generation of Tests • Monitoring (Run-Time): Context-aware Service Adaptation
- 11. Targeted outcomes • Methods to derive semi-automatically services and related tests from semantic service descriptions based on standard service interfaces and re-usable service and test components. • Integrating testing into a Service Creation Environment supporting incremental service evolution by regression tests. • Definition of a framework for service validation tests in a sandbox environment before deployment in the service provider’s infrastructure, including automated deployment procedures based on semantics for service resource requirements and network capabilities. • Development of run-time monitoring mechanisms which enable service adaptation to environment changes and to adjust network parameters (e.g. Quality of Service).