CloudEmu: A Trace-Driven Cloud-Native Emulation Testbed for Vehicle Video Uplink over Cellular Networks
Takashi Torii,Soto Anno,Masaki Okada,Takuma Tsubaki,Nobuhiro Azuma,Takuya Tojo

TL;DR
CloudEmu is a cloud-native, trace-driven emulation testbed for vehicle video uplink over cellular networks, enabling repeatable, low-cost, and realistic testing for autonomous vehicle communication.
Contribution
It introduces a novel, scalable, and route-aware emulation framework that combines the fidelity of real-world trace replay with the flexibility of cloud-based simulation.
Findings
Enables repeatable vehicle video uplink experiments under identical network conditions.
Couples real cellular and position traces with traffic replay on commodity hardware.
Allows low-cost, controlled testing of production video-uplink stacks in a cloud environment.
Abstract
We present CloudEmu, a trace-driven, cloud-native cellular-emulation testbed for vehicle video uplink communication. Reliable, low-latency video uplink over cellular networks is essential for remote monitoring of autonomous vehicles. However, existing testbeds fall into two extremes. Physical-vehicle platforms provide realism but are costly and make validation under identical network conditions difficult, whereas simulations are inexpensive and reproducible but generally cannot replay field-measured end-to-end performance dynamics without substantial calibration or readily run production video-uplink stacks. A software-defined, cloud-native emulation approach can combine the fidelity of trace-driven replay with the agility and scalability that network softwarization principles offer. To this end, we propose CloudEmu that replays time-synchronized cellular and position traces, collected…
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