This paper investigates latency characteristics of MQTT communication in remote spectrometer control. A comparative study of AWS IoT Core and HiveMQ broker implementations across various Quality of Service levels has been presented. Methodologies include detailed measurements of control command and data feedback latencies, followed by statistical analysis. Initial findings have demonstrated a monotonic increase in latency and its variability (jitter) as QoS levels rise for both brokers, confirming the inherent MQTT trade-off between reliability and speed. AWS IoT Core consistently exhibits lower modal latencies and more concentrated distributions across all QoS levels compared to HiveMQ, suggesting superior average performance and consistency. The presented analysis has provided insights into how broker choice and QoS configuration impact remote control performance. Results can be useful for the development of more reliable, low- latency, and efficient remote laboratory systems for advanced scientific experimentation.
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