Abstract
We study computing solutions that can be used close to the network edge in I2oT systems (Industrial Internet of Things). As a specific use case, we consider a factory warehouse with AGVs (Automated Guided Vehicles). The computing services for such systems should be dependable, yield high performance, and have low latency. For understanding such systems, we have constructed a hybrid system that consists of a simulator yielding virtual LiDAR sensor data streams in real-time and a sensor data processor on a real cluster that acts as a fog computing node close to the warehouse. The processing merges the observations done from the individual sensor streams without using the vehicle-to-vehicle communication links for the complicated computing. We present our experimental results, which show the feasibility of the computing solution.
Original language | English |
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Title of host publication | 2nd Workshop on Fog Computing and the IoT, Fog-IoT 2020 |
Editors | Anton Cervin, Yang Yang |
Publisher | Schloss Dagstuhl - Leibniz-Zentrum für Informatik |
Chapter | 4 |
Number of pages | 12 |
ISBN (Electronic) | 9783959771443 |
DOIs | |
Publication status | Published - Apr 2020 |
MoE publication type | A4 Conference publication |
Event | Workshop on Fog Computing and the IoT - Sydney, Australia Duration: 21 Apr 2020 → 21 Apr 2020 Conference number: 2 |
Publication series
Name | OpenAccess Series in Informatics |
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Volume | 80 |
ISSN (Print) | 2190-6807 |
Workshop
Workshop | Workshop on Fog Computing and the IoT |
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Abbreviated title | Fog-IoT |
Country/Territory | Australia |
City | Sydney |
Period | 21/04/2020 → 21/04/2020 |
Keywords
- Fog computing
- Hybrid systems
- New control applications
- Simulation