On Optimizing Traffic Scheduling for Multi-replica Containerized Microservices-Reference-Cited by-同舟云学术

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On Optimizing Traffic Scheduling for Multi-replica Containerized Microservices

Published:2023-08-07 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 52nd International Conference on Parallel Processing
language:
Short-container-title:

Author:

Zhu Xianzhi¹^ORCID,Li Yongkun²^ORCID,Yao Lulu²^ORCID,Qi Zhihao²^ORCID,Xu Yinlong³^ORCID,Wang Pengcheng⁴^ORCID,Wang Weiguang⁴^ORCID,Zhu Xia⁴^ORCID

Affiliation:

1. Department of Computer Science and Technology, University of Science and Technology of China, China

2. University of Science and Technology of China, China

3. Anhui Province Key Laboratory of High Performance Computing, China and University of Science and Technology of China, China

4. Huawei, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3605573.3605646

Reference62 articles.

1. 2023. Amazon Microservices. https://aws.amazon.com/microservices/. 2023. Amazon Microservices. https://aws.amazon.com/microservices/.

2. Marcelo Amaral , Tatsuhiro Chiba , Scott Trent , Takeshi Yoshimura , and Sunyanan Choochotkaew . 2022. MicroLens: A Performance Analysis Framework for Microservices Using Hidden Metrics With BPF . In IEEE CLOUD. Marcelo Amaral, Tatsuhiro Chiba, Scott Trent, Takeshi Yoshimura, and Sunyanan Choochotkaew. 2022. MicroLens: A Performance Analysis Framework for Microservices Using Hidden Metrics With BPF. In IEEE CLOUD.

3. Apple Microservices 2022. Apple Microservices. https://www.apple.com/. Apple Microservices 2022. Apple Microservices. https://www.apple.com/.

4. SHOWAR

5. Performance Modeling and Workflow Scheduling of Microservice-Based Applications in Clouds

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