雾计算辅助动物福利软件系统在现实世界智能奶牛场物联网部署中的方法分析

Mohit Taneja, Nikita Jalodia, P. Malone, E. Misha
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引用次数: 1

摘要

在物联网时代,沿着物到云连续体的设备提供了一个独特的机会,可以额外充当计算中心。这种范式被称为雾计算,可用于托管应用程序和处理更靠近源的数据。在这篇文章中,我们对一个支持物联网的智能奶牛场中的雾启用软件系统进行了系统的分析。开发的软件系统利用牛脚上的可穿戴设备产生的运动数据来检测它们的异常行为。我们分析了使用雾计算辅助方法开发此类物联网解决方案的好处。我们使用资源利用率作为性能指标来分析利用雾计算范式与传统的以云为中心的方法相比的优势。结果表明,雾化软件系统具有计算资源利用率高、服务质量提高等优点。评估结果表明,为了使用更少的计算资源提供更高的可扩展性,需要对某些组件进行特殊的设计(包括低级和高级系统设计)、重新配置和重新设计。
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Methodical Analysis of a Fog Computing Assisted Animal-Welfare Software System in a Real-World Smart Dairy Farm IoT Deployment
In the IoT era, the devices along the things-to-cloud continuum, present a unique opportunity to additionally serve as computing hubs. Termed Fog computing, this paradigm can be used to host applications and process data closer to the source. In this article, we present a methodical analysis of our fog enabled software system in an IoT enabled smart dairy farm. The developed software system uses locomotion data generated by wearables on cows’ feet to detect anomalies in their behaviour. We analyze the benefits of using a fog computing assisted approach for developing such IoT solutions. We use resource utilization as the performance metric for analyzing the benefits of leveraging the fog computing paradigm compared to the traditional cloud centric approach. The results suggest that a fog enabled software system brings benefits such as efficient utilization of computing resources, improved QoS etc. The evaluation indicates that there will be need of special design (including both low-level and high-level system design) re-configurations and also re-engineering of some components to provide higher scalability using less computational resources.
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