Graph Attention Networks and Deep Q-Learning for Service Mesh Optimization: A Digital Twinning Approach-Reference-Cited by-同舟云学术

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Graph Attention Networks and Deep Q-Learning for Service Mesh Optimization: A Digital Twinning Approach

Published:2024-06-09 Issue: Volume:abs/2010.11307 Page:2913-2918
ISSN:
Container-title:ICC 2024 - IEEE International Conference on Communications
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Author:

Khan Michel Gokan¹,Taheri Javid²,Kassler Andreas³,Asl Arsineh Boodaghian⁴

Affiliation:

1. Karlstad University,Dep. of Mathematics and Computer Science,Karlstad,Sweden

2. School of Electronics, Electrical Eng. and Computer Science, Queen's University Belfast,Belfast,United Kingdom

3. Deggendorf Institute of Technology,Faculty of Computer Science,Deggendorf,Germany

4. School of Eng. Sciences in Chemistry, Biotech. and Health KTH Royal Inst. of Technology,Stockholm,Sweden

Funder

Karlstad University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10622104/10622158/10622616.pdf?arnumber=10622616

Reference40 articles.

1. Survey and Evaluation of Blue-Green Deployment Techniques in Cloud Native Environments

2. Resource management schemes for cloud-native platforms with computing containers of docker and kubernetes;Mao;arXiv preprint,2020

3. Concurrent container scheduling on heterogeneous clusters with multi-resource constraints

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