Predicting of Job Failure in Compute Cloud Based on Online Extreme Learning Machine: A Comparative Study

Author:

Liu Chunhong,Han Jingjing,Shang Yanlei,Liu Chuanchang,Cheng Bo,Chen Junliang

Funder

National Grand Fundamental Research 973 Program of China

National Science-Technology Support Plan Projects

Key Science and Technology Program of Henan Province

Natural Science Research Projects of the Department of Education of Henan Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 24 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. JEM: An AI-based engine workflow to predict simulation’s execution time on HPC cluster;2024 International Conference on Control, Automation and Diagnosis (ICCAD);2024-05-15

2. FP‐JSC: Job failure prediction on supercomputers through job application sequence correlation;Concurrency and Computation: Practice and Experience;2024-03-24

3. Machine learning job failure analysis and prediction model for the cloud environment;High-Confidence Computing;2023-12

4. Cloud Service Failure Prediction on Google’s Borg Cluster Traces Using Traditional Machine Learning;2023 25th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC);2023-09-11

5. Easy Job Eligibility Checking System using Machine Learning;2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS);2023-05-17

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