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Private Cloud Deployment Model in Open-Source Mobile Robots Ecosystem

机译:开源移动机器人生态系统中的私有云部署模型

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The focus of this paper is on secure cloud service platform for mobile robots ecosystem. Especially the emphasis is based on the scope of open-source software frameworks such as Apache Hadoop which offers numerous possibilities to employ open-source designing tools and deployment models for private cloud computing planning. This paper presents implementation of the OpenCRP (Open CloudRobotic Platform) locally-operated private cloud infrastructure and configuration methods by using Hadoop distributed file system (HDFS) for easing the ecosystem communications set-up in its entirety. For robot teleoperation, ROS (Robot Operating System) is used. The presented ecosystem utilizes security features for autonomous cloud robotic platform, software tools to manage user authentication and methods for large-scale robot-based data management and analysis. In addition to robot trial set-up of robot data storage and sharing, an ecosystem built with two low-cost mobile robots is presented.
机译:本文的重点是针对移动机器人生态系统的安全云服务平台。尤其要强调的是基于开放源代码软件框架(例如Apache Hadoop)的范围,该框架提供了将开放源代码设计工具和部署模型用于私有云计算计划的多种可能性。本文介绍了通过使用Hadoop分布式文件系统(HDFS)来简化整个生态系统通信设置的OpenCRP(开放CloudRobotic平台)本地操作的私有云基础结构和配置方法的实现。对于机器人遥操作,使用ROS(机器人操作系统)。提出的生态系统利用了用于自主云机器人平台的安全功能,用于管理用户身份验证的软件工具以及用于基于机器人的大规模数据管理和分析的方法。除了设置机器人数据存储和共享的机器人试验设置外,还提出了由两个低成本移动机器人构建的生态系统。

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