IoT Protocols Based Fog/Cloud over High Traffic

Istabraq M. Al-Joboury, E. Al-Hemiary
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引用次数: 2

Abstract

The Internet of Things (IoT) becomes the future of a global data field in which the embedded devices communicate with each other, exchange data and making decisions through the Internet. IoT could improve the quality of life in smart cities, but a massive amount of data from different smart devices could slow down or crash database systems. In addition, IoT data transfer to Cloud for monitoring information and generating feedback that will lead to high delay in infrastructure level. Fog Computing can help by offering services closer to edge devices. In this paper, we propose an efficient system architecture to mitigate the problem of delay. We provide performance analysis like response time, throughput and packet loss for MQTT (Message Queue Telemetry Transport) and HTTP (Hyper Text Transfer Protocol) protocols based on Cloud or Fog servers with large volume of data from emulated traffic generator working alongside one real sensor . We implement both protocols in the same architecture, with low cost embedded devices to local and Cloud servers with different platforms. The results show that HTTP response time is 12.1 and 4.76 times higher than MQTT Fog and Cloud based located in the same geographical area of the sensors respectively. The worst case in performance is observed when the Cloud is public and outside the country region. The results obtained for throughput shows that MQTT has the capability to carry the data with available bandwidth and lowest percentage of packet loss. We also prove that the proposed Fog architecture is an efficient way to reduce latency and enhance performance in Cloud based IoT.
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基于物联网协议的高流量雾/云
物联网(IoT)成为全球数据领域的未来,嵌入式设备通过互联网相互通信,交换数据并做出决策。物联网可以改善智慧城市的生活质量,但来自不同智能设备的大量数据可能会减慢或使数据库系统崩溃。此外,物联网数据传输到云端监控信息并产生反馈,这将导致基础设施层面的高延迟。雾计算可以通过提供更接近边缘设备的服务来提供帮助。在本文中,我们提出了一种有效的系统架构来缓解延迟问题。我们为基于云或雾服务器的MQTT(消息队列遥测传输)和HTTP(超文本传输协议)协议提供响应时间、吞吐量和数据包丢失等性能分析,这些服务器具有来自模拟流量生成器的大量数据,并与一个真实传感器一起工作。我们在相同的架构中实现这两个协议,将低成本的嵌入式设备用于不同平台的本地和云服务器。结果表明,HTTP响应时间分别比位于传感器同一地理区域的基于Fog和基于Cloud的MQTT高12.1倍和4.76倍。当云是公共的并且不在国家区域中时,会出现性能最差的情况。吞吐量的结果表明,MQTT能够以可用带宽和最低的丢包率传输数据。我们还证明了所提出的雾架构是一种在基于云的物联网中减少延迟和提高性能的有效方法。
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