Comosum: An Extensible, Reconfigurable, and Fault-Tolerant IoT Platform for Digital Agriculture

Comosum: An Extensible, Reconfigurable, and Fault-Tolerant IoT Platform for Digital Agriculture
复制标题

DOI:
--
复制
发表时间:
2023
期刊:
--
影响因子:
--
通讯作者:
Gloire Rubambiza;Shiang-Wan Chin;Mueed Rehman;Sachille Atapattu;José-Fernán Martínez;Hakim Weatherspoon
Gloire Rubambiza;Shiang-Wan Chin;Mueed Rehman;Sachille Atapattu;José-Fernán Martínez;Hakim Weatherspoon
中科院分区:
其他
文献类型:
--
作者:
Gloire Rubambiza;Shiang-Wan Chin;Mueed Rehman;Sachille Atapattu;José-Fernán Martínez;Hakim Weatherspoon

文献摘要

相似文献

这项工作是一个部署的数字农业(或DA)网络系统的经验。DA是使用数据驱动的技术来实现农业生产力和效率的可持续增长。预计DA系统将覆盖在现有的农村基础设施上,众所周知,农村基础设施不如城市基础设施强大。虽然现有的DA方法部分解决了几个基础设施问题,但与数据聚合、数据分析和容错相关的挑战仍然存在。在这项工作中,我们提出了设计的Comosum,一个可扩展的,可重新配置的,容错的硬件,软件和分布式云抽象的体系结构,以感测,分析和执行不同的农场类型。我们还提出了FarmBIOS,实现的Comosum架构。我们通过利用各种应用程序,部署经验以及城市和农村农场之间的网络差异来分析FarmBIOS。例如,边缘分析应用程序在葡萄园疾病检测中的准确率达到86%。为期18个月的FarmBIOS部署突出了Comosum对间歇性网络中断的容忍度,这种中断在部署的许多阶段持续了几天。我们就FarmBIOS如何适应新的DA供应商、云中的可重新配置性挑战、DA环境特有的持续故障以及系统当前的局限性提供了实用的见解。
This work is an experience with a deployed networked system for digital agriculture (or DA). DA is the use of data-driven techniques toward a sustainable increase in farm productivity and efficiency. DA systems are expected to be overlaid on existing rural infrastructures, which are known to be less robust than urban infrastructures. While existing DA approaches partially address several infrastructure issues, challenges re-lated to data aggregation, data analytics, and fault tolerance remain open. In this work, we present the design of Comosum, an extensible, reconfigurable, and fault-tolerant architecture of hardware , software , and distributed cloud abstractions to sense, analyze, and actuate on different farm types. We also present FarmBIOS, an implementation of the Comosum architecture. We analyze FarmBIOS by leveraging various applications, deployment experiences, and network differences between urban and rural farms. This includes, for instance, an edge analytics application achieving 86% accuracy in vine-yard disease detection. An eighteen-month deployment of FarmBIOS highlights Comosum’s tolerance to intermittent network outages that lasted for several days during many periods of the deployment. We offer practical insights on how FarmBIOS adapts to new DA vendors, reconfigurability challenges in the cloud, persistent failures that are unique to the DA context, and the system’s current limitations.