A simple multithreaded C++ framework for high-performance data acquisition systems

Data acquisition systems must be capable to process all the data produced by the source to ensure the highest level of accuracy, especially when it deals with hard real-time system monitoring. However, the production of data is faster than the process to acquire and to process such a data. Using concurrency approach is an alternative to obtain the required level of performance and data processing. This paper presents the comparison between various C++ frameworks that using multithreading technology and ring-buffer data structure allow data transfer in concurrent way. The comparison is based on the time interval between the instant when data is published and the instant when the data is gathered. These latency measurements have been taken using the structure of one producer and two consumers for all evaluated frameworks. The results show that it is possible to achieve suitable performance using standard C++ libraries to develop a simple framework for data acquisition systems.