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Wed 11 Nov 2020 01:03 - 01:04 at Virtual room 2 - Cloud / Services 1

In cloud service systems, customers will report the service issues they have encountered to cloud service providers. Despite many issues can be handled by the support team, sometimes the customer issues can not be easily solved, thus raising customer incidents. Quick troubleshooting of a customer incident is critical. To this end, a customer incident should be assigned to its responsible team accurately in a timely manner.

Our industrial experiences show that linking customer incidents with detected system incidents can help the customer incident triage. In particular, our empirical study on 7 real cloud service systems shows that with the additional information about the system incidents (i.e., incident reports generated by system monitors), the triage time of customer incidents can be accelerated 13.1$\times$ on average. Based on this observation, in this paper, we propose LinkCM, a learning based approach to automatically link customer incidents to monitor reported system incidents. LinkCM incorporates a novel learning-based model that effectively extracts related information from two resources, and a transfer learning strategy is proposed to help LinkCM achieve better performance without huge amount of data. The experimental results indicate that LinkCM is able to achieve accurate link prediction. Furthermore, case studies are presented to demonstrate how LinkCM can help the customer incident triage procedure in real production cloud service systems.

Wed 11 Nov
Times are displayed in time zone: (UTC) Coordinated Universal Time change

01:00 - 01:02
Talk
Research Papers
Alex CummaudoDeakin University, Australia, Scott BarnettDeakin University, Australia, Rajesh VasaDeakin University, Australia, John GrundyMonash University, Australia, Mohamed AbdelrazekDeakin University, Australia
DOI
01:03 - 01:04
Talk
Industry Papers
Jiazhen GuFudan University, China, Jiaqi WenPeking University, China, Zijian WangFudan University, China, Pu ZhaoMicrosoft Research, China, Chuan LuoMicrosoft Research, China, Yu KangMicrosoft Research, China, Yangfan ZhouFudan University, China, Li YangMicrosoft Azure, USA, Jeffrey SunMicrosoft Azure, USA, Zhangwei XuMicrosoft, China, Bo QiaoMicrosoft Research, China, Liqun LiMicrosoft Research, China, Qingwei LinMicrosoft Research, China, Dongmei ZhangMicrosoft Research, China
DOI
01:05 - 01:06
Talk
Industry Papers
Jiajun JiangTianjin University, China, Weihai LuPeking University, China, Junjie ChenTianjin University, China, Qingwei LinMicrosoft Research, China, Pu ZhaoMicrosoft Research, China, Yu KangMicrosoft Research, China, Hongyu ZhangUniversity of Newcastle, Australia, Yingfei XiongPeking University, Feng GaoMicrosoft, China, Zhangwei XuMicrosoft, China, Yingnong DangMicrosoft, USA, Dongmei ZhangMicrosoft Research, China
DOI
01:07 - 01:08
Talk
Research Papers
Yujun ChenMicrosoft Research, China, Xian YangHong Kong Baptist University, China, Hang DongMicrosoft Research, China, Xiaoting HeChinese Academy of Sciences, China, Hongyu ZhangUniversity of Newcastle, Australia, Qingwei LinMicrosoft Research, China, Junjie ChenTianjin University, China, Pu ZhaoMicrosoft Research, China, Yu KangMicrosoft Research, China, Feng GaoMicrosoft, China, Zhangwei XuMicrosoft, China, Dongmei ZhangMicrosoft Research, China
DOI
01:09 - 01:10
Talk
Tool Demos
Anup K. KaliaIBM Research, USA, Jin XiaoIBM Research, USA, Chen LinIBM Research, USA, Saurabh SinhaIBM Research, John RofranoIBM Research, USA, Maja VukovicIBM Research, USA, Debasish BanerjeeIBM, n.n.
DOI
01:11 - 01:12
Talk
Tool Demos
Alex CummaudoDeakin University, Australia, Scott BarnettDeakin University, Australia, Rajesh VasaDeakin University, Australia, John GrundyMonash University, Australia
DOI
01:13 - 01:14
Talk
Industry Papers
Zhuangbin ChenChinese University of Hong Kong, China, Yu KangMicrosoft Research, China, Liqun LiMicrosoft Research, China, Xu ZhangMicrosoft Research, China, Hongyu ZhangUniversity of Newcastle, Australia, Hui XuFudan University, China, Yangfan ZhouFudan University, China, Li YangMicrosoft Azure, USA, Jeffrey SunMicrosoft Azure, USA, Zhangwei XuMicrosoft, China, Yingnong DangMicrosoft, USA, Feng GaoMicrosoft, China, Pu ZhaoMicrosoft Research, China, Bo QiaoMicrosoft Research, China, Qingwei LinMicrosoft Research, China, Dongmei ZhangMicrosoft Research, China, Michael LyuCUHK
DOI Media Attached File Attached
01:15 - 01:30
Talk
Paper Presentations
Alex CummaudoDeakin University, Australia, Anup K. KaliaIBM Research, USA, Jiajun JiangTianjin University, China, Zhuangbin ChenChinese University of Hong Kong, China, M: Satish ChandraFacebook, USA