The growth of edge computing depends on large-scale deployments of edge infrastructure. Benchmarking applications are needed to compare the performance across different edge deployments and against device-only and cloud-only implementations. In this article, we present OpenRTiST, an open-source application that is simultaneously compute-intensive, bandwidth-hungry, and latency-sensitive. It implements a form of augmented reality that lets you “see the world through the eyes of an artist.” We compare end-to-end application latency over varying network conditions and measure performance across a variety of edge platforms. OpenRTiST is designed to be easily deployed and has been used to showcase the benefits of edge computing.

中文翻译：

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OpenRTiST：边缘计算的端到端基准测试

边缘计算的增长取决于边缘基础设施的大规模部署。需要基准测试应用程序来比较不同边缘部署以及仅设备和仅云实施的性能。在本文中，我们将介绍 OpenRTiST，这是一个同时具有计算密集型、带宽需求和延迟敏感的开源应用程序。它实现了一种增强现实形式，让您“通过艺术家的眼睛看世界”。我们比较了不同网络条件下的端到端应用程序延迟，并测量了各种边缘平台的性能。OpenRTiST 旨在易于部署，并已用于展示边缘计算的优势。