Cloud-edge collaborative lightweight edge container image storage

Zeng Zeng; Changzhi Teng; Yuanyi Xia; Rui Zhang; Shihao Li; Sibo Bi

doi:10.1117/12.3009283

16 October 2023 Cloud-edge collaborative lightweight edge container image storage

Zeng Zeng, Changzhi Teng, Yuanyi Xia, Rui Zhang, Shihao Li, Sibo Bi

Proceedings Volume 12803, Fifth International Conference on Artificial Intelligence and Computer Science (AICS 2023); 1280314 (2023) https://doi.org/10.1117/12.3009283
Event: 2023 5th International Conference on Artificial Intelligence and Computer Science (AICS 2023), 2023, Wuhan, China

Abstract

As industrial manufacturing booms and data continues to grow in the IoT era, the number of edge computing nodes needed is growing. However, the resources of these edge computing nodes are often constrained. Under the conditions that the storage space of edge computing nodes is insufficient and the network environment is more stable, we propose a lightweight edge container image storage method with cloud-edge collaboration. This approach leverages the CernVM-FS (Cern Virtual Machine File System) to enable edge computing nodes to remotely mount the container root filesystem. In the experimental environment set up in this paper, the total storage space consumption of the conventional mounting method (local filesystem mount) is 2.67 times higher than that of the proposed method (remote filesystem mount). In addition, by measuring and comparing the time overhead of these two methods in the phases of pulling images, creating containers, and running containers, we believe that this remote mounting method has some applicability in the edge application scenario of this paper.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zeng Zeng, Changzhi Teng, Yuanyi Xia, Rui Zhang, Shihao Li, and Sibo Bi "Cloud-edge collaborative lightweight edge container image storage", Proc. SPIE 12803, Fifth International Conference on Artificial Intelligence and Computer Science (AICS 2023), 1280314 (16 October 2023); https://doi.org/10.1117/12.3009283

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