DDS

Integration effort and risk grow dramatically with system and team size. Connecting large systems developed by independent teams at different times requires connecting multiple systems, thus creating a system of systems. Enterprise systems use a design called Service Oriented Architecture (SOA) to effect this integration. However, the technologies used in the enterprise do not apply well to real-time systems; they cannot handle the strict delivery and timing requirements. So what IS Real-Time SOA?

In the modern world, two powerful forces are at absolute odds: system complexity is increasing while budgets are tightening. It seems clear that, in order to manage this state of affairs, we must look for new and different ways to do things rather than just making incremental improvements on the old ways. Data-centric middleware provides that opportunity by enabling a fundamental step forward in efficiency for designing, developing, and deploying next generation, distributed mission-critical systems.

This whitepaper discusses why integrating modern systems requires a new modular, network-centric approach that relies only on standard APIs and protocols, provides stronger information-management services, and avoids historical problems of integrating complex, heterogeneous systems. The paper focuses on "real-world" systems, that is, systems that interact with the external physical world and must live within the constraints imposed by real-world physics.

RTI has created a number of additional capabilities for its OMG Data Distribution Service (DDS) compliant middleware, specifically to address the challenges of constrained network communication. This paper discusses some sample network types and present solutions using RTI Data Distribution Service.

This paper presents a comprehensive overview of the Data Distribution Service standard (DDS) and describes its benefits for developing robust precision assembly applications. DDS is a platform-independent standard released by the Object Management Group (OMG) for data-centric publish-subscribe systems. It allows decoupled applications to transfer information, regardless of what architecture, programming language or operating system they use.

Today's embedded software applications are increasingly distributed; they communicate data between many computing nodes in a networked system. Several network middleware designs have arisen to meet the resulting communications need, including client-server, message passing, and publish-subscribe architectures.

In this paper we provide a comparative overview of the data distribution service with respect to high-level architecture. We describe the equivalent terminology and concepts, and highlight the key similarities and differences in the areas of declaration management, object management, data distribution management, ownership management, federation management, and time management.