论文标题
关于使用嵌入式边缘设备的增强现实的可部署性
On the Deployability of Augmented Reality Using Embedded Edge Devices
论文作者
论文摘要
边缘计算利用在网络的边缘部署的计算能力，以支持具有低延迟需求的应用程序。这样的功能可以驻留在小型嵌入式设备中，这些设备将专用硬件（例如GPU）集成到低成本软件包中。但是，与标准服务器等级设备相比，这些设备的计算功能有限。在部署基于边缘计算的应用程序时，了解可用硬件是否可以满足目标要求是满足预期性能的关键。在本文中，我们研究了使用嵌入式边缘设备（EED）部署增强现实应用程序的可行性。我们将这种部署方法与一种利用标准专用服务器等级机器进行比较。从对这些设备能力的经验评估开始，我们提出了一个简单的理论模型来比较两种方法的性能。然后，我们使用NS-3模拟验证此类模型并研究其可行性。我们的结果表明，没有一个合适的解决方案。如果我们需要部署高响应率应用程序，我们需要一个集中的服务器等级体系结构，无论如何，我们只能支持很少的用户。即使需要低到中间响应能力，集中式体系结构也无法为更多用户服务。在这种情况下，我们需要求助于基于EED的分布式部署。
Edge Computing exploits computational capabilities deployed at the very edge of the network to support applications with low latency requirements. Such capabilities can reside in small embedded devices that integrate dedicated hardware -- e.g., a GPU -- in a low cost package. But these devices have limited computing capabilities compared to standard server grade equipment. When deploying an Edge Computing based application, understanding whether the available hardware can meet target requirements is key in meeting the expected performance. In this paper, we study the feasibility of deploying Augmented Reality applications using Embedded Edge Devices (EEDs). We compare such deployment approach to one exploiting a standard dedicated server grade machine. Starting from an empirical evaluation of the capabilities of these devices, we propose a simple theoretical model to compare the performance of the two approaches. We then validate such model with NS-3 simulations and study their feasibility. Our results show that there is no one-fits-all solution. If we need to deploy high responsiveness applications, we need a centralized server grade architecture and we can in any case only support very few users. The centralized architecture fails to serve a larger number of users, even when low to mid responsiveness is required. In this case, we need to resort instead to a distributed deployment based on EEDs.
