Collaborative Edge and Cloud Neural Networks for Real-Time Video Processing
Summary: Demonstrates collaborative edge–cloud neural-network video processing for real-time IoT workloads. Lets users combine techniques and observe trade-offs among model accuracy, latency, and bandwidth, exposing when optimization strategies complement or conflict. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Philipp M. Grulich (Technical University of Berlin; University of California Santa Cruz)
- 2. Faisal Nawab (University of California Santa Cruz)
BibTeX Citation
@article{grulich_vldb18,
title = {{Collaborative Edge and Cloud Neural Networks for Real-Time Video Processing}},
author = {Grulich, Philipp M. and Nawab, Faisal},
journal = {PVLDB},
series = {{VLDB} '18},
volume = {11},
number = {12},
pages = {2046--2049},
doi = {10.14778/3229863.3236256},
url = {https://doi.org/10.14778/3229863.3236256},
year = {2018}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,215 | The NebulaStream Platform: Data and Application Management for the Internet of Things | 2020 | CIDR | 6.3124972e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 284 | NoScope: Optimizing Neural Network Queries over Video at Scale | 2017 | VLDB | 0.00022370521 |
| 4,306 | WANalytics: Geo-Distributed Analytics for a Data Intensive World | 2015 | SIGMOD | 6.7702911e-05 |
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