Real-Time Distributed Information Sharing Platform for Novel Activities based on Cloud Collaborative Software

Jinwen Chen, Meishan Liang
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Abstract

Existing research shows that in order to solve the network delay problem of cloud servers and provide customers with good service quality, scholars have proposed the concept of the edge computing. In this study, the real-time distributed information sharing platform for novel activities based on cloud collaborative software is studied. Novelty of this study can be seen from three aspects. (1) The novel peer-to-peer information analysis is constructed, to serve as the sharing basis. It is set on an intermediary agent node directly connected to the NAT device. (2) distributed terminal model is studied and the novel HDFS structure is defined. The system has two basic tasks, that is, data sharing and storage management through the cooperation of the service interface and the client. (3) The novel cloud collaboration software is designed and achieved. To validate the model, test regarding the different data sizes are conducted. The designed system accuracy is higher than the traditional HDFS and HDFS -redundant model.
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基于云协同软件的新颖活动实时分布式信息共享平台
已有研究表明,为了解决云服务器的网络延迟问题,为客户提供良好的服务质量,学者们提出了边缘计算的概念。本文研究了基于云协同软件的新型活动实时分布式信息共享平台。本研究的新颖性可以从三个方面看出。(1)构建了新颖的点对点信息分析,作为共享的基础。在与NAT设备直连的中间代理节点上配置。(2)研究了分布式终端模型,定义了新的HDFS结构。该系统通过服务接口和客户端的协作,完成数据共享和存储管理两个基本任务。(3)设计并实现了新型云协作软件。为了验证模型,对不同的数据大小进行了测试。设计的系统精度高于传统HDFS和HDFS冗余模型。
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