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首页> 外文期刊>Concurrency, practice and experience >Vessel to shore data movement through the Internet of Floating Things: A microservice platform at the edge
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Vessel to shore data movement through the Internet of Floating Things: A microservice platform at the edge

机译:船只通过浮动事物互联网移动数据移动:边缘的微闲平台

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摘要

The rise of the Internet of Things has generated high expectations about the improvement in people's lifestyles. In the last decade, we saw several examples of instrumented cities where different types of data were gathered, processed, and made available to inspire the next generation of scientists and engineers. In this framework, sensors and actuators became leading actors of technologically pervasive urban environments. However, in coastal areas, marine data crowdsourcing is difficult to apply due to the challenging operational conditions, extremely unstable network connectivity, and security issues in data movement. To fill this gap, we present a novel version of our DYNAMO transfer protocol (DTP), a platform-independent data mover framework where data collected on board of vessels are stored locally and then moved from the edge to the cloud when the operating conditions are favorable. We evaluate the performance of DTP in a controlled environment with a private cloud by measuring the time it takes for the clouds ide to process and store a fixed amount of data while varying the number of microservice instances. We show that the time decreases exponentially when the number of microservice instances goes from 1 to 16 and it remains constant above that number.
机译:事情的崛起对人们生活方式的改善产生了很高的期望。在过去的十年中,我们看到了几个仪表城市的例子,其中收集了不同类型的数据,并可用于激发下一代科学家和工程师。在本框架中,传感器和执行器成为技术普遍的城市环境的领先行为者。然而,在沿海地区,由于挑战性的运营条件,极其不稳定的网络连接和数据运动中的安全问题,难以适用海洋数据覆盖。为了填补这一差距,我们提出了一种新颖的我们的发电机传输协议(DTP),一个独立于独立的数据移动器框架,其中在船上收集的数据本地存储,然后在操作条件时从边缘移动到云。有利。我们通过测量云IDE来处理和存储固定数量的数据来评估DTP在具有私有云的受控环境中的性能,同时改变微服务实例的数量。我们表明,当微服务实例的数量从1到16开始时,时间会呈指数级增长,并且在该数字上方保持恒定。

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