Failure Analysis and Characterization of Scheduling Jobs in Google Cluster Trace-Reference-Cited by-同舟云学术

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Failure Analysis and Characterization of Scheduling Jobs in Google Cluster Trace

Published:2018-10 Issue: Volume: Page:
ISSN:
Container-title:IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society
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Author:

Jassas Mohammad,Mahmoud Qusay H.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8560606/8591058/08592822.pdf?arnumber=8592822

Cited by 21 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. Statistical Process Control for Supporting OS-level Failure Prediction;Anais do XXV Workshop de Testes e Tolerância a Falhas (WTF 2024);2024-05-24

2. 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

3. Enhancing Fault Tolerance System in Cloud Environment Through Failure Prediction Using Ensemble Learning;2024 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT);2024-01-04

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

5. Leveraging Time Series Autocorrelation Through Numerical Differentiation for Improving Failure Prediction;12th Latin-American Symposium on Dependable and Secure Computing;2023-10-16

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