Models@run.time for Creating In-Cloud Dynamic Cyber-Physical Ecosystems

Taherkordi, Amir; Eliassen, Frank

doi:10.1109/cloudcom.2014.158

Cited by 3 publications

(1 citation statement)

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“…In addition, heterogeneous sensor and actuator networks can be connected and discovered through an architecture based on RESTful web services [ 39 ]. Regarding model-based approaches, web and cloud computing technologies can be described from the abstract view of the WoT through model at run-time to create dynamic cyber-physical ecosystems [ 40 ]. Our approach is inspired by the abstraction concepts to deploy the software components which manage the CPSs using a web technology (in this case we have used Polymer web components) and they are managed by using RESTful web services.…”

Section: Related Workmentioning

confidence: 99%

Integrating Cyber-Physical Systems in a Component-Based Approach for Smart Homes

Criado

Asensio

Padilla

et al. 2018

Sensors

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Integration of different cyber-physical systems involves a development process that takes into account some solutions for intercommunicating and interoperating heterogeneous devices. Each device can be managed as a thing within the Internet-of-Things concept by using web technologies. In addition, a “thing” can be managed as an encapsulated component by applying component-based software engineering principles. Based on this context, we propose a solution for integrating heterogeneous systems using a specific component-based technology. Specifically, we focus on enabling the connection of different types of subsystems present in smart home solutions. This technology enables interoperability by applying a homogeneous component representation that provides communication features through web sockets, and by implementing gateways in proprietary network connections. Furthermore, our solution eases the extension of these systems by means of abstract representations of the architectures and devices that form part of them. The approach is validated through an example scenario with different subsystems of a smart home solution.

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Section: Related Workmentioning

confidence: 99%