Blogs (1) >>
ASE 2019
Sun 10 - Fri 15 November 2019 San Diego, California, United States
Wed 13 Nov 2019 11:00 - 11:20 at Hillcrest - Cloud and Online Services Chair(s): Dan Hao

Large-scale online systems are complex, fast-evolving, and hardly bug-free despite the testing efforts. Backend system monitoring cannot detect many types of issues, such as UI related bugs, bugs with small impact on backend system indicators, or errors from third-party co-operating systems, etc. However, users are good informers of such issues: They will provide their feedback for any types of issues. This experience paper discusses our design of iFeedback, a tool to perform real-time issue detection based on user feedback texts. Unlike traditional approaches that analyze user feedback with computation-intensive natural language processing algorithms, iFeedback is focusing on fast issue detection, which can serve as a system life-condition monitor. In particular, iFeedback extracts word combination-based indicators from feedback texts. This allows iFeedback to perform fast system anomaly detection with sophisticated machine learning algorithms. iFeedback then further summarizes the texts with an aim to effectively present the anomaly to the developers for root cause analysis. We present our representative experiences in successfully applying iFeedback in tens of large-scale production online service systems in ten months.

Wed 13 Nov

Displayed time zone: Tijuana, Baja California change

10:40 - 12:20
Cloud and Online ServicesJournal First Presentations / Research Papers / Demonstrations at Hillcrest
Chair(s): Dan Hao Peking University
10:40
20m
Talk
Understanding Exception-Related Bugs in Large-Scale Cloud Systems
Research Papers
Haicheng Chen The Ohio State University, Wensheng Dou Institute of Software, Chinese Academy of Sciences, Yanyan Jiang Nanjing University, Feng Qin Ohio State University, USA
Pre-print Media Attached
11:00
20m
Talk
iFeedback: Exploiting User Feedback for Real-time Issue Detection in Large-Scale Online Service Systems
Research Papers
Wujie Zheng Tencent, Inc., Haochuan Lu Fudan University, Yangfan Zhou Fudan University, Jianming Liang Tencent, Haibing Zheng Tencent, Yuetang Deng Tencent, Inc.
11:20
20m
Talk
Software Microbenchmarking in the Cloud. How Bad is it Really?
Journal First Presentations
Christoph Laaber University of Zurich, Joel Scheuner Chalmers | University of Gothenburg, Philipp Leitner Chalmers University of Technology & University of Gothenburg
Link to publication Pre-print
11:40
20m
Talk
Continuous Incident Triage for Large-Scale Online Service Systems
Research Papers
Junjie Chen Tianjin University, Xiaoting He Microsoft, Qingwei Lin Microsoft Research, China, Hongyu Zhang The University of Newcastle, Dan Hao Peking University, Feng Gao Microsoft, Zhangwei Xu Microsoft, Yingnong Dang Microsoft Azure, Dongmei Zhang Microsoft Research, China
12:00
10m
Demonstration
Kotless: a Serverless Framework for Kotlin
Demonstrations
Vladislav Tankov JetBrains, ITMO University, Yaroslav Golubev JetBrains Research, Timofey Bryksin JetBrains Research, Saint-Petersburg State University
12:10
10m
Demonstration
FogWorkflowSim: An Automated Simulation Toolkit for Workflow Performance Evaluation in Fog Computing
Demonstrations
Xiao Liu School of Information Technology, Deakin University, Lingmin Fan School of Computer Science and Technology, Anhui University, Jia Xu School of Computer Science and Technology, Anhui University, Xuejun Li School of Computer Science and Technology, Anhui University, Lina Gong School of Computer Science and Technology, Anhui University, John Grundy Monash University, Yun Yang Swinburne University of Technology