There is a growing trend for enterprise-level Internet of Things (IoT) applications requiring real-time horizontally scalable data processing platforms. Real-time processing platforms receiving data streams from sensor networks (e.g., autonomous and connected vehicles, smart security for businesses and homes, smartwatches, fitness trackers, and other wearables) require distributed MQTT brokers. This case study presents an IoT data streaming testbed platform prepared for the Czech Post. The presented platform has met the throughput requirement of 2 million messages per 24 hours (comprising SMS and emails). The tested MQTT broker runs on a single virtual node of a horizontally scalable testbed platform. Soon the Czech Post will modernise its eServices to increase package deliveries aligned with eCommerce and eGovernment demands. The presented testbed platform fulfils all requirements, and it is also capable of processing thousands of messages per second. The presented platform and concepts are transferable to healthcare systems, transport operations, the automotive industry, and other domains such as smart cities.
翻译:企业一级Tings Internet(IoT)应用要求实时横向可扩展数据处理平台的趋势日益增长。实时处理平台接收来自传感器网络的数据流(如自主和连通车辆、企业和住宅的智能安全、智能观察、健身跟踪器和其他磨损器)需要分布式MQTT经纪人。本案例研究展示了一个为捷克邮报准备的IoT数据流测试平台。推出的平台满足了每24小时200万条信息(包括SMS和电子邮件)的吞吐量要求。测试过的MQT经纪人运行在一个横向可扩展的测试平台的单一虚拟节点上。捷克邮局不久将将其电子服务现代化,以增加与电子通讯和电子政府需求相一致的一揽子交付。推出的测试平台满足了所有要求,它还能够每秒处理数千条信息。推出的平台和概念可转让到保健系统、运输业务、汽车业以及智能城市等其他领域。