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Evaluation of Real-Time Stream Processing for Internet of Things Applications

机译:评估事物互联网应用程序的实时流处理

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Nowadays, Internet of Things (IoT) application need information on demand and in real-time. With this, big data became vital part of IoT applications as the data generated by the application is very large. In most of the application IoT applications generate continuous streams of data which need to be analyzed in real-time to produce the information about the event. Apache kafka has the ability to handle continuous stream of data in distributed manner. In this work, we evaluate the performance of IoT applications by applying the apache kafka at middleware layer (processing layer). We evaluate the latency and throughput for educational, smart home, and smart building applications.
机译:如今,物联网(物联网)应用需要有关需求的信息,实时需要信息。有了这个,大数据成为IOT应用程序的重要组成部分,因为应用程序生成的数据非常大。在大多数应用程序中,IOT应用程序生成连续的数据流,需要实时分析,以产生有关事件的信息。 Apache Kafka能够以分布式方式处理连续数据流。在这项工作中,我们通过在中间件层(处理层)上应用Apache Kafka来评估IoT应用程序的性能。我们评估教育,智能家居和智能建筑应用的延迟和吞吐量。

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