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https://doi.org/10.21256/zhaw-25897| Publication type: | Conference paper |
| Type of review: | Peer review (publication) |
| Title: | Cloud native robotic applications with GPU sharing on Kubernetes |
| Authors: | Toffetti, Giovanni Militano, Leonardo Murphy, Seán Maurer, Remo Straub, Mark |
| et. al: | No |
| DOI: | 10.48550/arXiv.2210.03936 10.21256/zhaw-25897 |
| Conference details: | IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Kyoto, Japan, 23-27 October 2022 |
| Issue Date: | 8-Oct-2022 |
| Publisher / Ed. Institution: | arXiv |
| Other identifiers: | arXiv:2210.03936 |
| Language: | English |
| Subjects: | Robotics; Artificial intelligence; Computer vision; Pattern recognition; Distributed computing; Parallel computing; Cluster computing; Networking; Internet architecture |
| Subject (DDC): | 006: Special computer methods 621.3: Electrical, communications, control engineering |
| Abstract: | In this paper we discuss our experience in teaching the Robotic Applications Programming course at ZHAW combining the use of a Kubernetes (k8s) cluster and real, heterogeneous, robotic hardware. We discuss the main advantages of our solutions in terms of seamless "simulation to real'' experience for students and the main shortcomings we encountered with networking and sharing GPUs to support deep learning workloads. We describe the current and foreseen alternatives to avoid these drawbacks in future course editions and propose a more cloud-native approach to deploying multiple robotics applications on a k8s cluster. |
| Further description: | Accepted submission at the Workshop "Cloud and Fog Robotics In The Age of Deep Learning". |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/25897 |
| Fulltext version: | Submitted version |
| License (according to publishing contract): | CC BY-NC 4.0: Attribution - Non commercial 4.0 International |
| Departement: | School of Engineering |
| Organisational Unit: | Institute of Computer Science (InIT) |
| Appears in collections: | Publikationen School of Engineering |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2022_Toffetti-etal_Cloud-native-robotic-applications-GPU-sharing-Kubernetespdf.pdf | Submitted Version | 210.79 kB | Adobe PDF |  View/Open |
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Toffetti, G., Militano, L., Murphy, S., Maurer, R., & Straub, M. (2022, October 8). Cloud native robotic applications with GPU sharing on Kubernetes. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Kyoto, Japan, 23-27 October 2022. https://doi.org/10.48550/arXiv.2210.03936
Toffetti, G. et al. (2022) ‘Cloud native robotic applications with GPU sharing on Kubernetes’, in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Kyoto, Japan, 23-27 October 2022. arXiv. Available at: https://doi.org/10.48550/arXiv.2210.03936.
G. Toffetti, L. Militano, S. Murphy, R. Maurer, and M. Straub, “Cloud native robotic applications with GPU sharing on Kubernetes,” in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Kyoto, Japan, 23-27 October 2022, Oct. 2022. doi: 10.48550/arXiv.2210.03936.
TOFFETTI, Giovanni, Leonardo MILITANO, Seán MURPHY, Remo MAURER und Mark STRAUB, 2022. Cloud native robotic applications with GPU sharing on Kubernetes. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Kyoto, Japan, 23-27 October 2022. Conference paper. arXiv. 8 Oktober 2022
Toffetti, Giovanni, Leonardo Militano, Seán Murphy, Remo Maurer, and Mark Straub. 2022. “Cloud Native Robotic Applications with GPU Sharing on Kubernetes.” Conference paper. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Kyoto, Japan, 23-27 October 2022. arXiv. https://doi.org/10.48550/arXiv.2210.03936.
Toffetti, Giovanni, et al. “Cloud Native Robotic Applications with GPU Sharing on Kubernetes.” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Kyoto, Japan, 23-27 October 2022, arXiv, 2022, https://doi.org/10.48550/arXiv.2210.03936.
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