CloudIntelligence 2021
Sat 29 May 2021
co-located with ICSE 2021
Sat 29 May 2021 12:40 - 12:55 at CloudIntelligence Room - Technical paper session #1 Chair(s): Qingwei Lin

Microservice architecture has emerged as a popular pattern for developing large-scale applications for its benefits of flexibility, scalability, and agility. However, the large number of services and complex dependencies make it difficult and time[1]consuming to diagnose performance issues. We propose Micro[1]Diag, an automated system to localize root causes of performance issues in microservice systems at a fine granularity, including not only locating the faulty component but also discovering detailed information for its abnormality. MicroDiag constructs a component dependency graph and performs causal inference on diverse anomaly symptoms to derive a metrics causality graph, which is used to infer root causes. Our experimental evaluation on a microservice benchmark running in a Kubernetes cluster shows that MicroDiag localizes root causes well, with 97% precision of the top 3 most likely root causes, outperforming state-of-the-art methods by at least 31.1%.

Sat 29 May

Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

11:55 - 12:55
Technical paper session #1CloudIntelligence 2021 at CloudIntelligence Room
Chair(s): Qingwei Lin Microsoft Research, Beijing, China
11:55
15m
Paper
PerfEstimator: A Generic and Extensible Performance Estimator for Data Parallel DNN Training
CloudIntelligence 2021
Chengru  Yang University of Science and Technology of China, Zhehao  Li University of Science and Technology of China, Chaoyi  Ruan University of Science and Technology of China, Guanbin  Xu University of Science and Technology of China, Cheng  Li University of Science and Technology of China, Ruichuan  Chen Nokia Bell Labs, Feng Yan University of Nevada Reno
12:10
15m
Paper
Kmon: An In-kernel Transparent Monitoring System for Microservice Systems with eBPF
CloudIntelligence 2021
Tianjun Weng Sun Yat-Sen University, Wanqi  Yang Sun Yat-Sen University, Guangba  Yu Sun Yat-Sen University, Pengfei Chen Sun Yat-Sen University, Jieqi Cui Sun Yat-Sen University, Chuanfu  Zhang Sun Yat-Sen University
12:25
15m
Paper
TraceLingo: Trace representation and learning for performance issue diagnosis in cloud services
CloudIntelligence 2021
Yong Xu Microsoft, China, Yaokang  Zhu Microsoft Research Asia, Bo Qiao Microsoft Research, Beijing, China, Hongshu  Che Microsoft Research, Beijing, China, Pu Zhao Microsoft Research, Beijing, China, Xu Zhang Microsoft Research, Beijing, China, Ze Li Microsoft, USA, Yingnong Dang Microsoft, USA, Qingwei Lin Microsoft Research, Beijing, China
12:40
15m
Paper
MicroDiag: Fine-grained Performance Diagnosis for Microservice Systems
CloudIntelligence 2021
Li Wu Elastisys AB/Technische Universität Berlin, Johan Tordsson Elastisys AB, Jasmin Bogatinovski , Erik  Elmroth  Elastisys AB/Umea University, Odej  Kao Technische Universität Berlin

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Sat 29 May 2021 11:55 - 12:55 at CloudIntelligence Room - Technical paper session #1 Chair(s): Qingwei Lin
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