Research on High-performance Optimization Methods for FastDDS in Heterogeneous Real-time Simulation

Authors

Congping Liu, School of Software Engineering, South China University of Technology, Guangzhou 510006, China
Wei Song, The 28th Research Institute of China Electronics Technology Group Corporation, Nanjing 210095, China; The Information System Requirements Laboratory of China Electronics Technology Group Corporation, Nanjing 210095, China
Jian Fang, The 28th Research Institute of China Electronics Technology Group Corporation, Nanjing 210095, China; The Information System Requirements Laboratory of China Electronics Technology Group Corporation, Nanjing 210095, China
Fei Liu, School of Software Engineering, South China University of Technology, Guangzhou 510006, China

Abstract

Abstract:FastDDS faces limitations under high-frequency data streams, such as lock contention, performance overhead from frequent context switching, and configuration complexity of multiple nodes under strict real-time constraints, which affect the experimental efficiency. This paper proposed a performance optimization method based on a batch-scalable circular queue (BSCQ). The approach replaced the traditional mutex mechanism with a lock-free algorithm to reduce lock contention and avoid deadlocks, while batch processing improved data locality, cache hit rates, and memory utilization, effectively reducing data transmission delay and improving system throughput. Hazard pointers were introduced to ensure safe memory management during batch processing and eliminate memory leak risks. Experimental results show that the optimized scheme shows significant advantages in small message and high concurrency scenarios, and its throughput and latency metrics are better than the existing baseline scheme. In addition, this method does not rely on the third-party software environment, has strong versatility and portability, and can be combined with hardware optimization or other high-performance protocols to further improve the system's performance.

Recommended Citation

Liu, Congping; Song, Wei; Fang, Jian; and Liu, Fei (2025) "Research on High-performance Optimization Methods for FastDDS in Heterogeneous Real-time Simulation," Journal of System Simulation: Vol. 37: Iss. 7, Article 17.
DOI: 10.16182/j.issn1004731x.joss.25-0084
Available at: https://dc-china-simulation.researchcommons.org/journal/vol37/iss7/17

First Page

1865

Last Page

1878

CLC

TP391

Recommended Citation

Liu Congping, Song Wei, Fang Jian, et al. Research on High-performance Optimization Methods for FastDDS in Heterogeneous Real-time Simulation[J]. Journal of System Simulation, 2025, 37(7): 1865-1878.

Corresponding Author

Liu Fei

DOI

10.16182/j.issn1004731x.joss.25-0084