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Performance optimization for cloud computing systems in the microservice era: state-of-the-art and research opportunities

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Abstract

With the demand of agile development and management, cloud applications today are moving towards a more fine-grained microservice paradigm, where smaller and simpler functioning parts are combined for providing end-to-end services. In recent years, we have witnessed many research efforts that strive to optimize the performance of cloud computing system in this new era. This paper provides an overview of existing works on recent system performance optimization techniques and classify them based on their design focuses. We also identify open issues and challenges in this important research direction.

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Acknowledgements

This work was sponsored by the National Natural Science Foundation of China (Grant No. 61972247). Corresponding author is Chao Li from Shanghai Jiao Tong University, China.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China

    Rong Zeng, Xiaofeng Hou, Lu Zhang, Chao Li, Wenli Zheng & Minyi Guo

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  1. Rong Zeng
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  2. Xiaofeng Hou
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  3. Lu Zhang
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  4. Chao Li
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Correspondence to Chao Li.

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Rong Zeng received her MS degree from the Department of Computer Science and Engineering, Shanghai Jiao Tong University, China in 2020 and BS degree from the College of Computer Science and Technology, Jilin University, China. Her research interests include higher-performance and resource-efficient computing in datacenters.

Xiaofeng Hou received her PhD degree from the Department of Computer Science and Engineering, Shanghai Jiao Tong University, China in 2020 and BS degree from Dalian University of Technology, China. She is currently a Postdoctoral Researcher in The Hong Kong University of Science and Technology, China. Her main research interests include computer architecture and highly available data-center systems. She has received a Best Paper Award from ICCD in 2018.

Lu Zhang received the BS degree from the Northwestern Polytechnical University, China in 2016. He is working toward the PhD degree in the Department of Computer Science and Engineering, Shanghai Jiao Tong University, China. His research interests include edge computing, network function virtualization and serverless computing.

Chao Li received his PhD degree from the University of Florida, USA in 2014. He is currently an associate professor with tenure in the Department of Computer Science and Engineering, Shanghai Jiao Tong University, China. His research mainly focuses on computer architecture and systems for emerging applications. He is a senior member of IEEE/ACM/CCF.

Wenli Zheng received his PhD degree from the Ohio State University, USA in 2016. He is currently an assistant professor in the Department of Computer Science and Engineering, Shanghai Jiao Tong University, China. His research interests include large scale energy efficient computing system, cooperative computing and trusted computing.

Minyi Guo received his PhD degree in computer science from the University of Tsukuba, Japan. He is currently Zhiyuan Chair professor, Shanghai Jiao Tong University, China. His research interests include parallel/distributed computing, compiler optimizations, cloud computing and big data. He is now on the editorial board of IEEE Transactions on Parallel and Distributed Systems and Journal of Parallel and Distributed Computing. Dr. Guo is IEEE fellow and CCF fellow.

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Performance Optimization for Cloud Computing Systems in the Microservice Era: State-of-the-Art and Research Opportunities

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Zeng, R., Hou, X., Zhang, L. et al. Performance optimization for cloud computing systems in the microservice era: state-of-the-art and research opportunities. Front. Comput. Sci. 16, 166106 (2022). https://doi.org/10.1007/s11704-020-0072-3

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