Clairvoyant
Author:
Affiliation:
1. University of Warwick, Coventry, UK and University of Bisha, Bisha, KSA
2. University of Warwick, Coventry, UK
3. Argonne National Laboratory
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3524059.3532374
Reference83 articles.
1. IEEE Standard for Information Technology--Portable Operating System Interface (POSIX(TM)) Base Specifications, Issue 7
2. Bikash Agrawal , Tomasz Wiktorski , and Chunming Rong . 2015. Analyzing and Predicting Failure in Hadoop Clusters Using Distributed Hidden Markov Model . In Cloud Computing and Big Data, Weizhong Qiang, Xianghan Zheng, and Ching-Hsien Hsu (Eds.). Springer International Publishing , Cham , 232--246. Bikash Agrawal, Tomasz Wiktorski, and Chunming Rong. 2015. Analyzing and Predicting Failure in Hadoop Clusters Using Distributed Hidden Markov Model. In Cloud Computing and Big Data, Weizhong Qiang, Xianghan Zheng, and Ching-Hsien Hsu (Eds.). Springer International Publishing, Cham, 232--246.
3. Sentiment Analysis based Error Detection for Large-Scale Systems
4. Online Anomaly Detection in HPC Systems
5. Methodologies for advance warning of compute cluster problems via statistical analysis
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Analyzing and predicting job failures from HPC system log;The Journal of Supercomputing;2023-06-24
2. Time Machine: Generative Real-Time Model for Failure (and Lead Time) Prediction in HPC Systems;2023 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN);2023-06
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