265-microservice-deployment-in-edge-computing-based-on-deep-q-learning
Science Score: 31.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (0.4%) to scientific vocabulary
Last synced: 10 months ago
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Repository
Basic Info
- Host: GitHub
- Owner: SZU-AdvTech-2024
- Default Branch: main
- Size: 0 Bytes
Statistics
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 0
Created over 1 year ago
· Last pushed over 1 year ago
Metadata Files
Citation
https://github.com/SZU-AdvTech-2024/265-Microservice-Deployment-in-Edge-Computing-Based-on-Deep-Q-Learning/blob/main/
CreateDeployment.pyKubernetesbookinfoDeployment elastic_scaling.pyES() IA.py showxxxx.py GitHub:https://github.com/WENKAILV/RSDQL
Owner
- Name: SZU-AdvTech-2024
- Login: SZU-AdvTech-2024
- Kind: organization
- Repositories: 1
- Profile: https://github.com/SZU-AdvTech-2024
Citation (citation.txt)
@article{REPO265,
author = "Lv, Wenkai and Wang, Quan and Yang, Pengfei and Ding, Yunqing and Yi, Bijie and Wang, Zhenyi and Lin, Chengmin",
journal = "IEEE Transactions on Parallel and Distributed Systems",
number = "11",
pages = "2968--2978",
publisher = "IEEE",
title = "{Microservice deployment in edge computing based on deep Q learning}",
volume = "33",
year = "2022"
}
GitHub Events
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Last Year
- Watch event: 1
- Push event: 3
- Create event: 3