Abstract
Edge computing is well suited to environments that send massive data over the network, such as the Internet of Things. Kubernetes is used to manage services reliably in geographically distributed edge environments. However, the default Kubernetes placement policy does not consider the edge environment, which may lead to the degradation of service. In this paper, we propose a placement and replacement method that considers the edge environment. Compared to the default placement policy, proposed method improves the service performance by reducing the data transfer delay and the number of replacements.
| Original language | English |
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| Title of host publication | Proceedings of Innovative Computing 2024, Vol. 4 - Proceedings of The 7th International Conference on Innovative Computing, Vol. 4 IC 2024 |
| Editors | Yan Pei, Hao Shang Ma, Yu-Wei Chan, Hwa-Young Jeong |
| Publisher | Springer Science and Business Media Deutschland GmbH |
| Pages | 187-192 |
| Number of pages | 6 |
| ISBN (Print) | 9789819741816 |
| DOIs | |
| Publication status | Published - 2024 |
| Event | 7th International Conference on Innovative Computing, IC 2024 - Taichung, Taiwan, Province of China Duration: 2024 Jan 23 → 2024 Jan 26 |
Publication series
| Name | Lecture Notes in Electrical Engineering |
|---|---|
| Volume | 1217 LNEE |
| ISSN (Print) | 1876-1100 |
| ISSN (Electronic) | 1876-1119 |
Conference
| Conference | 7th International Conference on Innovative Computing, IC 2024 |
|---|---|
| Country/Territory | Taiwan, Province of China |
| City | Taichung |
| Period | 24/1/23 → 24/1/26 |
Bibliographical note
Publisher Copyright:© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
Keywords
- Edge Computing
- Internet of Things
- Kubernetes
- Microservice
ASJC Scopus subject areas
- Industrial and Manufacturing Engineering