A Survey on Experimental Performance Evaluation of Data Distribution Service (DDS) Implementations
Kaleem Peeroo, Peter Popov, Vladimir Stankovic

TL;DR
This paper provides a comprehensive survey of the performance characteristics of various Data Distribution Service (DDS) implementations, highlighting existing research gaps in real-time communication middleware.
Contribution
It offers an extensive review of current DDS performance studies and identifies gaps for future research in real-time systems.
Findings
DDS implementations vary significantly in performance
Research on DDS performance is limited and fragmented
Identifies key areas for future performance evaluation
Abstract
The Data Distribution Service (DDS) is a widely used communication specification for real-time mission-critical systems that follow the principles of publish-subscribe middleware. DDS has an extensive set of quality of service (QoS) parameters allowing a thorough customisation of the intended communication. An extensive survey of the performance of the implementations of this communication middleware is lacking. This paper closes the gap by surveying the state of the art in performance of various DDS implementations and identifying any research gaps that exist within this domain.
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Taxonomy
TopicsDistributed and Parallel Computing Systems · Cloud Computing and Resource Management · Software System Performance and Reliability
