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Nodes For Node-RED: A Case Study

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 Advantech Add-on Nodes for Node-RED SUSI Nodes A collection of Node-RED nodes access Advantech platform hardware functions through node-susiiot and node-susi. UI-Flow-Creator Nodes Nodes collocate with SUSIIoT APIs and node-red-dashboard nodes to create a customized dashboard. The ui-creator node uses SUSIIoT to get capability and device status from platforms, and automatically constructs a Node-RED flow to represent the customized dashboard. In addition to displaying device status, the created dashboard provides a device control mechanism. User input values on the dashboard are redirected to the input of a ui-creator-ctrl node, then the ui-creator-ctrl node sends the values to the device through SUSIIoT APIs. WISE-PaaS/RMM Nodes …show more content…

For communication, an SSL certificate is used to encrypt communication between Server and Client sides. EIS also implements TLS and DTLS for encrypted data transmission. For operating systems, Intel® McAfee secures embedded devices and automates the enforcement of software change-control policies, helping manufacturers ensure that their products and devices are protected from cyber threats and attacks. McAfee solutions span a wide range of technologies to address the above challenges, including application whitelisting, change management, and integrity.  EIS RESTful API Figure 8: EIS RESTful API The EIS RESTful API is the entry point for all EIS software services. The RESTful API handles requests in one of two ways; they are either simply routed to the appropriate service, or fanned out to multiple services. RESTful API service gathers pre-process data and generates REST APIs for EIS software service as seen in Figure 8. The RESTful API is also responsible for tasks such as load balancing, caching, access control, API metering, and monitoring, and can be implemented effectively using NodeJS express. The customer can easily and quickly develop an application, designing its data flow and web application using RESTful API.  Dashboard EIS provides the Dashboard tools that make it easy to decipher what data is saying, so management can make analytics-based decisions to steer their businesses. It enables the IoT solution

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