A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is
OpenRTiST: End-to-End Benchmarking for Edge Computing
IEEE pervasive computing
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." Wedoi:10.1109/mprv.2020.3028781 fatcat:w63esar2gvdwzf3dc3cftcra2q