用于农艺数据管理的P2P键值存储同步工作流

Richard K. Lomotey, Sinh Pham, Wen Fu, R. Deters
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引用次数: 2

摘要

智能手机、平板电脑、智能手表和笔记本电脑等移动设备在农业领域的使用越来越受欢迎。通过移动技术,农民可以快速方便地沟通、宣传商品和服务,并以软实时方式访问农艺数据。虽然移动设备是农艺信息获取和传播的良好来源,但过度依赖无线通信协议进行通信是一个挑战。由于农民的移动性,无线网络可能出现带宽波动,这可能妨碍移动服务器(云)生态系统中的数据传输和管理。为了解决这个问题,以前的工作提出了移动数据存储来支持离线模式下的信息访问。然而,如何有效地管理移动设备上的数据状态是一个有待研究的问题。在这项工作中,我们提出了一种移动云架构,使农民能够在面临网络挑战的情况下在其移动设备上管理农业数据的传输和存储。提出了三种不同的P2P键值存储方法:1)布隆过滤器算法,2)全状态数据传输,3)仅交换增量(更新)。建议在无线连接稳定的情况下进行全状态数据传输。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
P2P Key-Value Storage Synchronization Workflow for Agronomic Data Management
The use of mobile devices such as smartphones, tablets, smart watches and notebooks in the agriculture sector is gaining significant popularity. Through mobile technologies, farmers are aided to quickly and easily communicate, advertise goods and services, as well as accessing agronomic data in soft-real time. Though mobile devices are a good source of agronomic information access and dissemination, the over-dependence on wireless communication protocols for communication is a bit of a challenge. Due to the mobility of farmers, the wireless networks can experience bandwidth fluctuations and that can hamper data transfer and management in mobile-server (cloud) ecosystems. To address this issue, previous works propose mobile data storage to support information access in an offline mode. However, the question of how to efficiently management the data state on the mobile is under-studied. In this work, we proposed a mobile-cloud architecture that enables farmers to manage data transfer and storage of agronomic data on their mobile devices in the face of the network challenges. Three different P2P Key-Value Storage methodologies are presented which are: 1) Bloom Filters algorithm, 2) whole state data transfer, and 3) exchange of delta (updates) only. The whole state data transfer is only recommended when there is stable wireless connection.
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