Published June 15, 2023 | Version v1

XR Streaming Dataset

Authors/Creators

  • 1. Universitat Pompeu Fabra

Description

XR Content Streaming over Wi-Fi: Traffic Characterization and Experimental Evaluation

These datasets contain network traffic traces and WebRTC statistics collected from both the client and server during the study. The data records are from different applications (AH,ITK, and ER) using several configurations.

Datasets

Dataset

Name

Characteristics

D1

Baseline

AH | C: H.264, F: 90, R: 3664x1920p, B: 50 | A:0 | Laptop

D2

Frame Rate

AH | C: H.264, F: 60 & 30, R: 3664x1920p, B: 50 | A:0 | Laptop

D3

Codec

AH | C: VP9, F: 90 & 60 & 30, R: 3664x1920p, B: 50 | A:0 | Laptop

D4

Resolution

AH | C: H.264, F: 90, R: 2880x1600p, B: 50 | A:0 | Laptop

D5

Bitrate

AH | C: H.264, F: 90, R: 3664x1920p, B: 100 | A:0 | Laptop

D6

ITK

ITK | C: H.264, F: 90, R: 3664x1920p, B: 50 | A:0 | Laptop

D7

ER

ER | C: H.264, F: 90, R: 3664x1920p, B: 50 | A:0 | Laptop

D8

Background

AH | C: H.264, F: 90, R: 3664x1920p, B: 50 | A: 50 & 100 & 200 | Laptop

D9

Smartphone

AH | C: H.264, F: 90, R: 3664x1920p, B: 50 | A: 0 | Smartphone

D10

Oculus

AH | C: H.264, F: 90, R: 3664x1920p, B: 50 | A: 0 | Laptop + Oculus Link

AH: Alteration Hunting, ITK: Interaction Toolkit, ER: Escape Room, C: video codec, F: frame rate, R: resolution, B: bitrate, A: additional traffic.

Notes

The script for analyzing the traces is publicly available on GitHub: https://github.com/miguelcUPF/XRStreaming-DataAnalysis

Files

Datasets.zip

Files (10.1 GB)

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md5:3916124824ab2e8243a75463a234fd98
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