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P2P Key-Value Storage Synchronization Workflow for Agronomic Data Management

机译:P2P键值存储同步工作流程用于农艺数据管理

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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.
机译:在农业部门中使用智能手机,平板电脑,智能手表和笔记本电脑等移动设备正在取得重大普及。通过移动技术,农民有助于快速,轻松地沟通,广告商品和服务,以及在软实时访问农艺数据。虽然移动设备是农艺信息访问和传播的良好来源,但对无线通信协议的过度依赖性是一系列挑战。由于农民的移动性,无线网络可以体验带宽波动,并且可以妨碍移动服务器(云)生态系统中的数据传输和管理。要解决此问题,以前的作品提出了移动数据存储以支持脱机模式的信息访问。但是,如何研究如何有效地管理手机上的数据状态。在这项工作中,我们提出了一种移动云架构,使农民能够在网络挑战面前管理他们的移动设备上的农艺数据的数据传输和存储。提出了三种不同的P2P键值存储方法:1)绽放过滤器算法,2)整个状态数据传输,以及仅交换Delta(更新)。只有存在稳定的无线连接时才建议整个状态数据传输。

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