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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hiep Nguyen Zhiming Shen Yongmin Tan Xiaohui Gu |
| Copyright Year | 2013 |
| Description | Author affiliation: North Carolina State Univ., Raleigh, NC, USA (Hiep Nguyen; Zhiming Shen; Yongmin Tan; Xiaohui Gu) |
| Abstract | Distributed applications running inside cloud systems are prone to performance anomalies due to various reasons such as resource contentions, software bugs, and hardware failures. One big challenge for diagnosing an abnormal distributed application is to pinpoint the faulty components. In this paper, we present a black-box online fault localization system called FChain that can pinpoint faulty components immediately after a performance anomaly is detected. FChain first discovers the onset time of abnormal behaviors at different components by distinguishing the abnormal change point from many change points caused by normal workload fluctuations. Faulty components are then pinpointed based on the abnormal change propagation patterns and inter-component dependency relationships. FChain performs runtime validation to further filter out false alarms. We have implemented FChain on top of the Xen platform and tested it using several benchmark applications (RUBiS, Hadoop, and IBM System S). Our experimental results show that FChain can quickly pinpoint the faulty components with high accuracy within a few seconds. FChain can achieve up to 90% higher precision and 20% higher recall than existing schemes. FChain is non-intrusive and light-weight, which imposes less than 1% overhead to the cloud system. |
| Starting Page | 21 |
| Ending Page | 30 |
| File Size | 786467 |
| Page Count | 10 |
| File Format | |
| ISBN | 9780769550008 |
| ISSN | 10636927 |
| DOI | 10.1109/ICDCS.2013.26 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-07-08 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Measurement Benchmark testing Web servers Runtime Accuracy |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Networks and Communications Hardware and Architecture Software |
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