Cascading data streams

Building robust, trusted industrial IoT applications requires the best of both IT and OT, working in unison. Beyond a services-oriented architecture, an event-driven architecture sets up cascading of data across the enterprise.

Integrity and availability of data comes from OT at the edge. Leveraging a high-performance IT infrastructure enables reformatting, storing, distributing, and analyzing the IoT data stream. A hyperconnecting approach brings capability from both disciplines and all levels of the enterprise together to keep data flowing, non-stop.

End points: Sensors and actuators at the edge are integrated easily and securely. Devices are not restricted to a single protocol, creating lifecycle flexibility. Trust is established through unique device IDs and signatures, allowing control and verification of software and hardware integrity.

Edge devices are sensors and actuators, backed by processing and wired or wireless connectivity to gateways. These gateways, in turn, communicate to the cloud via WAN communication technology. Once brought into to the cloud through an access network, data is routed to servers for analysis.


Gateways: Localized aggregation, real-time analysis, and protocol conversion to and from an IP network are some of the functions found in a gateway platform. They also support reliable publish/subscribe mechanisms, and provide IoT data buffering in situations where the cloud is temporarily unavailable.
Real-time applications: Most OT teams are familiar with C/C++ programming and APIs into real-time operating systems and transport protocols. With support for RTOS on ARM or Intel architecture, plus publish/subscribe capability of DDS or MQTT, a highly capable platform delivers results in real-time.
Asset management: Ability to see and manage everything connected to an IT network remains intact. End points and gateways can be authenticated, provisioned, monitored, mapped, and updated according to policy, using enterprise tools. “Shadow” IT becomes unnecessary to implement OT assets properly.
Data streaming: Once IoT data is captured and introduced with trust into the IP-based enterprise network, IT can store it and enable users to visualize it. SQL querying is fully supported. Analytics tools can mine streams looking for insights into business trends, maintenance strategies, and customer service.
Enterprise applications: Most IT teams are familiar with Java application development and web services programming. OSGi applications are pluggable and interoperable with other IoT tools. DDS allows creation of high performance, highly scalable real-time messaging. MQTT brings lighter weight messaging, connecting with enterprise and social platforms. RESTful programming fits with HTML5 and mobile app development.