Experimental Evaluation of the Real-Time Performance of Publish-Subscribe Middlewares

REACTION 2013. 2nd International Workshop on Real-time and distributed computing in emerging applications. December 3rd, 2013, Vancouver, Canada.The integration of the complex network of modules composing a modern distributed embedded systems calls for a middleware solution striking a good tradeoff between conflicting needs such as: modularity, architecture independence, re-use, easy access to the limited hardware resources and ability to respect real–time constraints. Several middleware architectures proposed in the last years offer reliable and easy to use abstractions and intuitive publish-subscribe mechanism that can simplify system development to a good degree. However, a complete compliance with the different requirements of assistive robotics application (first and foremost real–time constraints) remains to be investigated. This paper evaluates the performance of these solutions in terms of latency and scalability

Data Distribution Services Performance Evaluation Framework

DDS (data distribution service) is a middleware protocol and API standard for data transferring using a publisher-subscriber model from the Object Management Group (OMG). There exist various open source and commercial implementations of DDS standard that provides API and services for data distribution. Every developer claims that his implementation fits standard and provides the best possible parameters for data transferring. Three different implementations of DDS are compared to determine their usability and performance characteristics. This paper presents a testing framework that allows to evaluate different implementations in the same experiments and moreover to include another DDS

A role-based software architecture to support mobile service computing in IoT scenarios

The interaction among components of an IoT-based system usually requires using low latency or real time for message delivery, depending on the application needs and the quality of the communication links among the components. Moreover, in some cases, this interaction should consider the use of communication links with poor or uncertain Quality of Service (QoS). Research efforts in communication support for IoT scenarios have overlooked the challenge of providing real-time interaction support in unstable links, making these systems use dedicated networks that are expensive and usually limited in terms of physical coverage and robustness. This paper presents an alternative to address such a communication challenge, through the use of a model that allows soft real-time interaction among components of an IoT-based system. The behavior of the proposed model was validated using state machine theory, opening an opportunity to explore a whole new branch of smart distributed solutions and to extend the state-of-the-art and the-state-of-the-practice in this particular IoT study scenario.Peer ReviewedPostprint (published version