Software System Performance and Reliability
Software System Performance and Reliability is a research topic within Computer Networks and Communications. Science Explorer counts 39k research works in it since 1952. 21.5% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on log analysis, performance prediction, and system diagnosis in the context of microservices, distributed systems, and cloud-native architectures. It covers techniques for anomaly detection, fault localization, and model-driven performance prediction using system logs.
- Log Analysis
- Performance Prediction
- Microservices
- Anomaly Detection
- Fault Localization
- Distributed Systems
- Model-driven Performance Prediction
- Cloud-Native Architecture
- DevOps
- System Logs
- Research works
- 39k fractional, since 1952
- In the world top 10%
- 8.3k per year above
- Top-10% rate
- 21.5% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +15% the tick is no change
Which countries lead Software System Performance and Reliability research?
By volume, China and the United States publish the most (1.6k and 1.4k works in 2022–2025).
By volume, 2022–2025
- 1 China 1.6k works
- 2 United States 1.4k works
- 3 India 831 works
- 4 Germany 394 works
- 5 Canada 251 works
- 6 Italy 249 works
- 7 United Kingdom 249 works
- 8 Brazil 230 works
- 9 Indonesia 166 works
- 10 France 159 works
How concentrated that is
The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.
Shares of the rows listed above, not of the whole node.
Which institutions lead Software System Performance and Reliability research?
By volume in 2022–2025, Film Independent publishes the most Software System Performance and Reliability research, followed by Beijing University of Posts and Telecommunications and Tsinghua University.
By volume, 2022–2025
- 1 Film Independent United States 63 works
- 2 Beijing University of Posts and Telecommunications China 43 works
- 3 Tsinghua University China 37 works
- 4 Beihang University China 36 works
- 5 National University of Defense Technology China 33 works
- 6 Nanjing University China 29 works
- 7 Peking University China 27 works
- 8 Concordia University Canada 26 works
- 9 Sun Yat-sen University China 26 works
- 10 Chinese Academy of Sciences China 26 works
Who are the leading researchers in Software System Performance and Reliability?
The most-cited researchers publishing on Software System Performance and Reliability include Ion Stoica, Rajkumar Buyya and Philip S. Yu.
- 1 Ion Stoica 9.6k citations
- 2 Rajkumar Buyya 7.8k citations
- 3 Philip S. Yu 6.6k citations
- 4 Rui Zhang 6k citations
- 5 Wil M. P. van der Aalst 5.5k citations
- 6 David A. Patterson 5.1k citations
- 7 Michael I. Jordan 4.8k citations
- 8 Luca Benini 4.6k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Software System Performance and Reliability research done?
The largest centres of Software System Performance and Reliability research in 2022–2025 are Beijing (China), Shanghai (China), Nanjing (China) and Guangzhou (China). Among places with at least 20 works in it, it is an unusually large share of all research in Redmond.
Largest cities, 2022–2025
Where it is the local speciality
- RedmondUS · 20.6 works28×
Location quotient: how much more of its research is in Software System Performance and Reliability than the world average.
Where is the best place to study Software System Performance and Reliability?
Among universities, judged by research, Singapore Management University, Concordia University and Polytechnique Montréal score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Singapore Management University Singapore | 60.3 | 41.6% | 13.5× | 11 | -2.6% |
| 2 | Concordia University Canada | 59.5 | 21.1% | 11.1× | 26 | +74.0% |
| 3 | Polytechnique Montréal Canada | 57.5 | 27.3% | 15.7× | 17 | +52.4% |
| 4 | Johannes Kepler University of Linz Austria | 54.7 | 28.0% | 12.1× | 15 | +11.8% |
| 5 | Università della Svizzera italiana Switzerland | 53.9 | 23.2% | 28.1× | 15 | -8.9% |
| 6 | The University of Melbourne Australia | 52.8 | 59.9% | 1.2× | 9 | +490.6% |
| 7 | Baylor University United States | 52.6 | 36.0% | 9.0× | 12 | — |
| 8 | University of the Cumberlands United States | 50.8 | 29.6% | 25.6× | 9 | — |
| 9 | École de Technologie Supérieure Canada | 49.9 | 18.4% | 11.6× | 9 | +100.7% |
| 10 | Beijing University of Posts and Telecommunications China | 49.4 | 14.3% | 8.8× | 42 | 0.0% |
Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.
Is Software System Performance and Reliability research growing?
Output in 2018–2022 was 15% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Software System Performance and Reliability.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Which topics inside it are moving
Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.