Optimization of message delivery reliability and throughput in a DDS-based system with per-publisher sending rate adjustment

Ridlo Sayyidina Auliya (), Chia-Ching Chen (), Po-Ru Lin (), Deron Liang () and Wei-Jen Wang ()
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Ridlo Sayyidina Auliya: National Central University
Chia-Ching Chen: National Central University
Po-Ru Lin: National Central University
Deron Liang: National Central University
Wei-Jen Wang: National Central University

Telecommunication Systems: Modelling, Analysis, Design and Management, 2023, vol. 84, issue 2, No 6, 235-250

Abstract: Abstract Data distribution service (DDS) is a communication middleware that has been widely used in various mission-critical systems. DDS supports a set of attributes and quality of service (QoS) policies that can be tuned to guarantee important performance factors in mission-critical systems message delivery (communication), such as reliability and throughput. However, optimizing reliability and throughput simultaneously in a DDS-based system is challenging. Adjusting the publisher’s sending rate is a direct approach to control the performance of a DDS-based system, but to the best of our knowledge, only a few research have examined this approach. In this study, we proposed a novel algorithm that adjusts the sending rate of each publisher to optimize the message delivery reliability and throughput of a DDS-based system. We also developed a DDS-based system model and use the model to define topic-based reliability and throughput. According to our experimental results, the proposed algorithm achieves a system communication reliability of 99–99.99%, given three scenarios of different reliability issues (70–99.99% reliability). Most importantly, the proposed algorithm can slightly increase per-topic throughput while improving per-topic reliability.

Keywords: Data distribution service (DDS); Reliability; Throughput; QoS; Topic-based publish-subscribe (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s11235-023-01045-x

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