Microservice Performance Tuning
Microservice Performance Tuning is a methodological framework within distributed systems optimization that specifically targets the improvement of response time, resource efficiency, and scalability of individual microservices through configuration adjustments, code-level optimizations, and runtime environment enhancements.
6
Publications
220
Citations
25
Authors
10
Institutions
Publications per year
2017–2026
6
Parents
6
Erms: Efficient Resource Management for Shared Microservices with SLA Guarantees
Shutian Luo, Huanle Xu, Kejiang Ye et al. · 2022 · 46 citations
1–5 of 6
25
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2
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1–5 of 25
10

University of Macau
Macao, Macao
2 h-index
5 publications
304 citations

Alibaba Group (China)
Hangzhou, China
2 h-index
7 publications
433 citations

Shanghai Jiao Tong University
Shanghai, China
1 h-index
6 publications
108 citations
University of Chinese Academy of Sciences
Beijing, China
1 h-index
1 publications
46 citations

Umeå University
Umeå, Sweden
1 h-index
3 publications
108 citations
PES University
Bengaluru, India
1 h-index
4 publications
88 citations

Chinese Academy of Sciences
Beijing, China
1 h-index
1 publications
46 citations
Shenzhen Institutes of Advanced Technology
Shenzhen, China
1 h-index
1 publications
46 citations
1–8 of 10
TPDS · 1 publications · 83 citations
1
h-index
1 publications · 18 citations
1
h-index
1 publications · 13 citations
1–3