Orchestrating Fault Prediction with Live Migration and Checkpointing

Author:

Behera Subhendu1,Wan Lipeng2,Mueller Frank1,Wolf Matthew2,Klasky Scott2

Affiliation:

1. North Carolina State University, Raleigh, NC, USA

2. Oak Ridge National Laboratory, Oak Ridge, TN, USA

Funder

National Science Foundation

U.S. Department of Energy

Publisher

ACM

Reference35 articles.

1. FTI

2. Towards Optimal Multi-Level Checkpointing

3. Wahid Bhimji Deborah Bard Melissa Romanus David Paul Andrey Ovsyannikov Brian Friesen and Matt and Bryson. 2016. Accelerating Science with the NERSC Burst Buffer Early User Program. https://www.nersc.gov/assets/Uploads/Nersc-BB-EUP-CUG.pdf Wahid Bhimji Deborah Bard Melissa Romanus David Paul Andrey Ovsyannikov Brian Friesen and Matt and Bryson. 2016. Accelerating Science with the NERSC Burst Buffer Early User Program. https://www.nersc.gov/assets/Uploads/Nersc-BB-EUP-CUG.pdf

4. Improving the Computing Efficiency of HPC Systems Using a Combination of Proactive and Preventive Checkpointing

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1. Machine Learning for Service Migration: A Survey;IEEE Communications Surveys & Tutorials;2023

2. AtFP: Attention-based Failure Predictor for Extreme-scale Computing;2022 13th International Conference on Reliability, Maintainability, and Safety (ICRMS);2022-08-21

3. P-ckpt: Coordinated Prioritized Checkpointing;2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS);2022-05

4. Taming System Dynamics on Resource Optimization for Data Processing Workflows: A Probabilistic Approach;IEEE Transactions on Parallel and Distributed Systems;2022-01-01

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