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Cloudroid: A Cloud Framework for Transparent and QoS-aware Robotic Computation Outsourcing

机译:Cloudroid:用于透明和Qos感知机器人的云框架   计算外包

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摘要

Many robotic tasks require heavy computation, which can easily exceed therobot's onboard computer capability. A promising solution to address thischallenge is outsourcing the computation to the cloud. However, exploiting thepotential of cloud resources in robotic software is difficult, because itinvolves complex code modification and extensive (re)configuration procedures.Moreover, quality of service (QoS) such as timeliness, which is critical torobot's behavior, have to be considered. In this paper, we propose atransparent and QoS-aware software framework called Cloudroid for cloud roboticapplications. This framework supports direct deployment of existing roboticsoftware packages to the cloud, transparently transforming them intoInternet-accessible cloud services. And with the automatically generatedservice stubs, robotic applications can outsource their computation to thecloud without any code modification. Furthermore, the robot and the cloud cancooperate to maintain the specific QoS property such as request response time,even in a highly dynamic and resource-competitive environment. We evaluatedCloudroid based on a group of typical robotic scenarios and a set of softwarepackages widely adopted in real-world robot practices. Results show thatrobot's capability can be enhanced significantly without code modification andspecific QoS objectives can be guaranteed. In certain tasks, the "cloud +robot" setup shows improved performance in orders of magnitude compared withthe robot native setup.
机译:许多机器人任务需要大量计算,这很容易超过机器人的机载计算机功能。解决这一挑战的有希望的解决方案是将计算外包到云中。但是,利用机器人软件中的云资源潜力很困难,因为它涉及复杂的代码修改和广泛的(重新)配置过程。此外,必须考虑服务质量(QoS)(如时效性),这是torobot的关键行为。在本文中,我们为云机器人应用程序提出了一个透明且具有QoS意识的软件框架Cloudroid。该框架支持将现有的机器人软件包直接部署到云中,将它们透明地转换为可访问Internet的云服务。借助自动生成的服务存根,机器人应用程序可以将其计算外包给云,而无需进行任何代码修改。此外,即使在高度动态和资源竞争的环境中,机器人和云也可以协作以维护特定的QoS属性,例如请求响应时间。我们根据一组典型的机器人场景以及在现实世界中的机器人实践中广泛采用的一组软件包对Cloudroid进行了评估。结果表明,无需修改代码即可显着增强机器人的功能,并且可以确保特定的QoS目标。与机器人本机设置相比,在某些任务中,“云+机器人”设置显示了数量级上的改进性能。

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