CarStream: An Industrial System of Big Data Processing for Internet-of-Vehicles
Summary: CarStream: an industrial big-data system for Internet-of-Vehicles, built to process massive, high-frequency vehicle data at scale. With 30k vehicles and 40 TB accumulated over three years, it supports multi-type data and reveals scalability and maintenance lessons for driving-data streams. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Mingming Zhang (Beihang University)
- 2. Tianyu Wo (Beihang University)
- 3. Tao Xie (University of Illinois Urbana-Champaign)
- 4. Xuelian Lin (Beihang University)
- 5. Yaxiao Liu (Tsinghua University)
BibTeX Citation
@article{zhang_vldb17,
title = {{CarStream: An Industrial System of Big Data Processing for Internet-of-Vehicles}},
author = {Zhang, Mingming and Wo, Tianyu and Xie, Tao and Lin, Xuelian and Liu, Yaxiao},
journal = {PVLDB},
series = {{VLDB} '17},
volume = {10},
number = {12},
pages = {1766--1770},
doi = {10.14778/3137765.3137787},
url = {https://doi.org/10.14778/3137765.3137787},
year = {2017}
}
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