Real-time Data Distribution Service (DDS) Tutorial - P1
Today's system's requirements include distributed and net-centric concepts and capabilities. The challenge is to rapidly and accurately distribute large amounts of information to large numbers of nodes, over a variety of transports, account for application level Quality of Service (QoS) all while realizing a decoupling data-centric software architecture. Traditional point-to-point integration technologies and techniques simply don't work in these large distributed environments.
This tutorial introduces the OMG Data Distribution Service (DDS) and highlights the standard's unique capabilities that address and solve these real-time distributed system integration challenges. Specifically, the talk will include an introduction to publish/subscribe concepts, an overview of the specification, DDS data-modeling capabilities, and many of the application level QoS polices and their uses in real-world applications. The tutorial will conclude with a simple demonstration highlighting key concepts covered.
These types of real-time
These types of real-time applications can be found in C4I systems, oxford university thesis industrial automation, distributed control and simulation, telecom equipment control and network management. master degree thesis Of primary concern to these real-time applications is the efficient distribution of data with mba thesis writing minimal overhead and the ability to control QoS properties that affect the predictability, overhead and resources used. Distributed shared memory is a classic model that provides data-centric exchanges.