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OpenRTiST: End-to-End Benchmarking for Edge Computing
2020
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." We
doi:10.1109/mprv.2020.3028781
fatcat:w63esar2gvdwzf3dc3cftcra2q