Cloud Native Metrics
Cloud Native Metrics is a metricological framework that systematically captures, quantifies, and evaluates performance, scalability, and resilience attributes of software systems designed according to cloud-native architectural principles, distinguishing it from traditional metrics by its intrinsic alignment with dynamic, distributed, and containerized environments.
4
Publications
433
Citations
19
Authors
8
Institutions
Publications per year
2017–2026
4
Parents
4
Cloud-Native Computing: A Survey From the Perspective of Services
Shuiguang Deng, Hailiang Zhao, Binbin Huang et al. · Proceedings of the IEEE · 2024 · 77 citations
Towards Latency Sensitive Cloud Native Applications: A Performance Study on AWS
István Pelle, János Czentye, János Dóka et al. · 2019 · 66 citations
1–5 of 4
19
2
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 19
8

TU Wien
Vienna, Austria
2 h-index
10 publications
167 citations

The University of Sydney
Sydney, Australia
2 h-index
10 publications
167 citations
Hangzhou Dianzi University
Hangzhou, China
2 h-index
10 publications
167 citations
Zhejiang University of Science and Technology
Hangzhou, China
2 h-index
15 publications
552 citations
First Affiliated Hospital Zhejiang University
Hangzhou, China
1 h-index
2 publications
154 citations
Technical University of Applied Sciences Lübeck
Lübeck, Germany
1 h-index
2 publications
560 citations

Zhejiang University of Technology
Hangzhou, China
1 h-index
9 publications
90 citations

Budapest University of Technology and Economics
Budapest, Hungary
1 h-index
3 publications
198 citations
1–8 of 8
JSS · 1 publications · 280 citations
1
h-index
1 publications · 77 citations
1
h-index
1 publications · 11 citations
1 publications · 15 citations
1–4