Please use this identifier to cite or link to this item:
https://doi.org/10.21256/zhaw-22694
Publication type: | Conference paper |
Type of review: | Peer review (publication) |
Title: | Analysis and improvement of heterogeneous hardware support in Docker images |
Authors: | Gkikopoulos, Panagiotis Schiavoni, Valerio Spillner, Josef |
et. al: | No |
DOI: | 10.1007/978-3-030-78198-9_9 10.21256/zhaw-22694 |
Proceedings: | Distributed Applications and Interoperable Systems |
Page(s): | 125 |
Pages to: | 142 |
Conference details: | 21st International Conference on Distributed Applications and Interoperable Systems (DAIS), Valletta, Malta (online), 14-18 June 2021 |
Issue Date: | 9-Jun-2021 |
Series: | Lecture Notes in Computer Science |
Series volume: | 12718 |
Publisher / Ed. Institution: | Springer |
Publisher / Ed. Institution: | Cham |
ISBN: | 978-3-030-78197-2 978-3-030-78198-9 |
Language: | English |
Subject (DDC): | 004: Computer science |
Abstract: | Docker images are used to distribute and deploy cloud-native applications in containerised form. A container engine runs them with separated privileges according to namespaces. Recent studies have investigated security vulnerabilities and runtime characteristics of Docker images. In contrast, little is known about the extent of hardware-dependent features in them such as processor-specific trusted execution environments, graphics acceleration or extension boards. This problem can be generalised to missing knowledge about the extent of any hardware-bound instructions within the images that may require elevated privileges. We first conduct a systematic one-year evolution analysis of a sample of Docker images concerning their use of hardware-specific features. To improve the state of technology, we contribute novel tools to manage such images. Our heuristic hardware dependency detector and a hardware-aware Docker executor hdocker give early warnings upon missing dependencies instead of leading to silent or untimely failures. Our dataset and tools are released to the research community. |
URI: | https://digitalcollection.zhaw.ch/handle/11475/22694 |
Fulltext version: | Accepted version |
License (according to publishing contract): | Licence according to publishing contract |
Restricted until: | 2022-06-09 |
Departement: | School of Engineering |
Organisational Unit: | Institute of Applied Information Technology (InIT) |
Appears in collections: | Publikationen School of Engineering |
Files in This Item:
File | Description | Size | Format | |
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2021_Spillner_HDocker.pdf | Accepted Version | 332.57 kB | Adobe PDF | ![]() View/Open |
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Gkikopoulos, P., Schiavoni, V., & Spillner, J. (2021). Analysis and improvement of heterogeneous hardware support in Docker images [Conference paper]. Distributed Applications and Interoperable Systems, 125–142. https://doi.org/10.1007/978-3-030-78198-9_9
Gkikopoulos, P., Schiavoni, V. and Spillner, J. (2021) ‘Analysis and improvement of heterogeneous hardware support in Docker images’, in Distributed Applications and Interoperable Systems. Cham: Springer, pp. 125–142. Available at: https://doi.org/10.1007/978-3-030-78198-9_9.
P. Gkikopoulos, V. Schiavoni, and J. Spillner, “Analysis and improvement of heterogeneous hardware support in Docker images,” in Distributed Applications and Interoperable Systems, Jun. 2021, pp. 125–142. doi: 10.1007/978-3-030-78198-9_9.
GKIKOPOULOS, Panagiotis, Valerio SCHIAVONI und Josef SPILLNER, 2021. Analysis and improvement of heterogeneous hardware support in Docker images. In: Distributed Applications and Interoperable Systems. Conference paper. Cham: Springer. 9 Juni 2021. S. 125–142. ISBN 978-3-030-78197-2
Gkikopoulos, Panagiotis, Valerio Schiavoni, and Josef Spillner. 2021. “Analysis and Improvement of Heterogeneous Hardware Support in Docker Images.” Conference paper. In Distributed Applications and Interoperable Systems, 125–42. Cham: Springer. https://doi.org/10.1007/978-3-030-78198-9_9.
Gkikopoulos, Panagiotis, et al. “Analysis and Improvement of Heterogeneous Hardware Support in Docker Images.” Distributed Applications and Interoperable Systems, Springer, 2021, pp. 125–42, https://doi.org/10.1007/978-3-030-78198-9_9.
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