ASE 2023
Mon 11 - Fri 15 September 2023 Kirchberg, Luxembourg
Thu 14 Sep 2023 13:54 - 14:06 at Room E - Debugging Chair(s): Carol Hanna

Debugging performance anomalies in databases is challenging. Causal inference techniques enable qualitative and quantitative root cause analysis of performance downgrades. Nev- ertheless, causality analysis is challenging in practice, particularly due to limited observability. Recently, chaos engineering (CE) has been applied to test complex software systems. CE frameworks mutate chaos variables to inject catastrophic events (e.g., network slowdowns) to stress-test these software systems. The systems under chaos stress are then tested (e.g., via differential testing) to check if they retain normal functionality, such as returning correct SQL query outputs even under stress.

To date, CE is mainly employed to aid software testing. This paper identifies the novel usage of CE in diagnosing performance anomalies in databases. Our framework, PERFCE, has two phases — offline and online. The offline phase learns statistical models of a database using both passive observations and proactive chaos experiments. The online phase diagnoses the root cause of performance anomalies from both qualitative and quantitative aspects on-the-fly. In evaluation, PERFCE outperformed previous works on synthetic datasets and is highly accurate and moderately expensive when analyzing real-world (distributed) databases like MySQL and TiDB.

Thu 14 Sep

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

13:30 - 15:00
DebuggingResearch Papers / Industry Showcase (Papers) at Room E
Chair(s): Carol Hanna University College London
13:30
12m
Talk
Coding and Debugging by Separating Secret Code toward Secure Remote Development
Industry Showcase (Papers)
Media Attached File Attached
13:42
12m
Talk
Detecting Memory Errors in Python Native Code by Tracking Object Lifecycle with Reference Count
Research Papers
Xutong Ma State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing, China, Jiwei Yan Institute of Software at Chinese Academy of Sciences, China, Hao Zhang Institute of Software, Chinese Academy of Sciences, Jun Yan Institute of Software at Chinese Academy of Sciences; University of Chinese Academy of Sciences, Jian Zhang Institute of Software at Chinese Academy of Sciences; University of Chinese Academy of Sciences
Pre-print
13:54
12m
Research paper
PERFCE: Performance Debugging on Databases with Chaos Engineering-Enhanced Causality Analysis
Research Papers
Zhenlan Ji The Hong Kong University of Science and Technology, Pingchuan Ma HKUST, Shuai Wang Hong Kong University of Science and Technology
Pre-print
14:06
12m
Talk
The MAP metric in Information Retrieval Fault Localization
Research Papers
Thomas Hirsch Graz University of Technology, Birgit Hofer Graz University of Technology
Media Attached File Attached
14:18
12m
Talk
Eiffel: Inferring Input Ranges of Significant Floating-point Errors via Polynomial ExtrapolationRecorded talk
Research Papers
Zuoyan Zhang Information Engineering University, Bei Zhou Information Engineering University, Jiangwei Hao Information Engineering University, Hongru Yang Information Engineering University, Mengqi Cui Information Engineering University, Yuchang Zhou Information Engineering University, Guanghui Song Information Engineering University, Fei Li Information Engineering University, Jinchen Xu Information Engineering University, Jie Zhao State Key Laboratory of Mathematical Engineering and Advanced Computing
Media Attached File Attached
14:30
12m
Talk
Information Retrieval-based Fault Localization for Concurrent ProgramsRecorded talk
Research Papers
Shuai Shao University of Connecticut, Tingting Yu University of Connecticut
Pre-print Media Attached