Distributed MQTT Brokers Infrastructure with Network Transparent Hardware Broker
T Toyohara, H Nishi - 2023 Eleventh International Symposium …, 2023 - ieeexplore.ieee.org
T Toyohara, H Nishi
2023 Eleventh International Symposium on Computing and Networking …, 2023•ieeexplore.ieee.orgIn recent years, the number of IoT devices has been rapidly increasing. Therefore, MQ
Telemetry Transport (MQTT) has attracted attention as a lightweight protocol for IoT devices.
MQTT employs a publish/subscribe model of communication via a broker, and since the
performance of the MQTT broker directly affects the quality of service, various studies have
been conducted to improve its performance. Among them, the hardware implementation of
MQTT broker has higher performance than software implementations in terms of publish …
Telemetry Transport (MQTT) has attracted attention as a lightweight protocol for IoT devices.
MQTT employs a publish/subscribe model of communication via a broker, and since the
performance of the MQTT broker directly affects the quality of service, various studies have
been conducted to improve its performance. Among them, the hardware implementation of
MQTT broker has higher performance than software implementations in terms of publish …
In recent years, the number of IoT devices has been rapidly increasing. Therefore, MQ Telemetry Transport (MQTT) has attracted attention as a lightweight protocol for IoT devices. MQTT employs a publish/subscribe model of communication via a broker, and since the performance of the MQTT broker directly affects the quality of service, various studies have been conducted to improve its performance. Among them, the hardware implementation of MQTT broker has higher performance than software implementations in terms of publish throughput and processing delay. However, there are some problems such as inflexibility and resource limitations. Therefore, we propose a distributed MQTT brokers infrastructure using the hardware broker. In this architecture, the software broker on the cloud and the hardware broker at the edge region work in cooperation to achieve low latency processing at the edge region and software flexibility. The hardware broker operates network transparently, so that end devices communicate with the software broker in the cloud and do not need to be aware of the presence of the hardware broker at the edge region. This enables resource and processing load distribution without affecting end devices. We implemented the network transparent hardware broker in a field-programmable gate array (FPGA) and evaluated it.
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