Employing Checkpoint to Improve Job Scheduling in Large-Scale Systems

Author:

Niu Shuangcheng,Zhai Jidong,Ma Xiaosong,Liu Mingliang,Zhai Yan,Chen Wenguang,Zheng Weimin

Publisher

Springer Berlin Heidelberg

Cited by 6 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. Analysis of Reinforcement Learning for Determining Task Replication in Workflows;Computer Performance Engineering;2023

2. OKCM: improving parallel task scheduling in high-performance computing systems using online learning;The Journal of Supercomputing;2020-11-13

3. A new rule-based power-aware job scheduler for supercomputers;The Journal of Supercomputing;2018-03-14

4. Supporting Real-Time Jobs on the IBM Blue Gene/Q: Simulation-Based Study;Job Scheduling Strategies for Parallel Processing;2018

5. Using Machine Learning in Trace-driven Energy-Aware Simulations of High-Throughput Computing Systems;Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion;2017-04-18

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