DDS

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Future Proof IoT: Composable Semantics, Security, QoS and Reliability

IETF impressively defined internet interoperation across 30 years of unforeseeable syntax API. IOT needs similar future proof, but for connected things' composable semantics, security, reliability and Quality of Service (QoS). This paper overviews these with simplifying tradeoffs from a bottom up approach using Data Distribution Service (DDS). Then high level semantic additions to DDS are suggested for semantics that are backward compatible, while maintaining the security, reliability and QoS of DDS.

Publication Year: 
2017

Distributed Simulation Using DDS and Cloud Computing

NASA Langley Research Center identified a need for a distributed simulation architecture that enables collaboration of live, virtual, and constructive nodes across its local area network with extensibility to other NASA Centers and external partners. One architecture that was prototyped and evaluated employed Data Distribution Service (DDS) middleware and the GovCloud cloud computing service. The nodes used DDS to exchange data.

Publication Year: 
2017

An investigation into some security issues in the DDS messaging protocol

The convergence of Operational Technology and Information Technology is driving integration of the Internet of Things and Industrial Control Systems to form the Industrial Internet of Things. Due to the influence of Information Technology, security has become a high priority particularly when implementations expand into critical infrastructure.

Publication Year: 
2017

Applying MBSE to the Industrial IoT: Using SysML with Connext DDS and Simulink

The benefits of Model-Based Systems Engineering (MBSE) and SysML are well established. As a result, users want to apply MBSE to larger and more complex Industrial IoT applications. 

Industrial IoT applications can be very challenging: They are distributed. They deploy components across nodes spanning from small Devices to Edge computers to the Cloud. They often need mathematically-complex software. Moreover, they have strict requirements in terms of performance, robustness, and security. 

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Novel Design of Collaborative Automation Platform Using Real-Time Data Distribution Service Middleware for An Optimum Process Control Environment

Refining and petrochemical processing facilities utilize various process control applications to raise productivity and enhance plant operation. Client–server communication model is used for integrating these highly interacting applications across multiple network layers utilized in distributed control systems.

Publication Year: 
2017
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