ProScale: Proactive Autoscaling for Microservice With Time-Varying Workload at the Edge

Author:

Cheng Ke1,Zhang Sheng1ORCID,Tu Chenghong1,Shi Xiaohang1,Yin Zhaoheng2,Lu Sanglu1,Liang Yu3,Gu Qing1ORCID

Affiliation:

1. State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, Jiangsu, China

2. Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong, SAR, China

3. School of Computer and Electronic Information/School of Artificial Intelligence, Nanjing Normal University, Nanjing, Jiangsu, China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Collaborative Innovation Center of Novel Software Technology and Industrialization

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Hardware and Architecture,Signal Processing

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Paradigm Shift From Monolithic to Microservices;2023 IEEE International Conference on Recent Advances in Systems Science and Engineering (RASSE);2023-11-08

2. Adaptive resource scaling of service mesh in cloud computing;Third International Conference on Green Communication, Network, and Internet of Things (CNIoT 2023);2023-10-20

3. Reviving Software Diversity in Microservices to Optimize the Performance of Software Systems;2023 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C);2023-09-25

4. GMA: Graph Multi-agent Microservice Autoscaling Algorithm in Edge-Cloud Environment;2023 IEEE International Conference on Web Services (ICWS);2023-07

5. OSCA: Online User-managed Server Selection and Configuration Adaptation for Interactive MAR;2023 IEEE/ACM 31st International Symposium on Quality of Service (IWQoS);2023-06-19

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