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Zhendong Bei
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2020 – today
- 2024
- [i1]Siyuan Jin, Zhendong Bei, Bichao Chen, Yong Xia:
Breaking the Cycle of Recurring Failures: Applying Generative AI to Root Cause Analysis in Legacy Banking Systems. CoRR abs/2411.13017 (2024) - 2022
- [j6]Zhendong Bei
, Nam Sung Kim
OSC: An Online Self-Configuring Big Data Framework for Optimization of QoS. IEEE Trans. Computers 71(4): 809-823 (2022) - 2021
- [j5]Huiling Zhang, Zhendong Bei, Wenhui Xi, Min Hao, Zhen Ju, Konda Mani Saravanan
Evaluation of residue-residue contact prediction methods: From retrospective to prospective. PLoS Comput. Biol. 17(5) (2021)
2010 – 2019
- 2018
- [j4]Zhendong Bei, Zhibin Yu, Ni Luo, Chuntao Jiang, Chengzhong Xu
Configuring in-memory cluster computing using random forest. Future Gener. Comput. Syst. 79: 1-15 (2018) - [j3]Zhibin Yu
MIA: Metric Importance Analysis for Big Data Workload Characterization. IEEE Trans. Parallel Distributed Syst. 29(6): 1371-1384 (2018) - [c3]Zhibin Yu, Zhendong Bei, Xuehai Qian:
Datasize-Aware High Dimensional Configurations Auto-Tuning of In-Memory Cluster Computing. ASPLOS 2018: 564-577 - 2017
- [j2]Zhendong Bei
MEST: A Model-Driven Efficient Searching Approach for MapReduce Self-Tuning. IEEE Access 5: 3580-3593 (2017) - 2016
- [j1]Zhendong Bei, Zhibin Yu, Huiling Zhang, Wen Xiong, Cheng-Zhong Xu
RFHOC: A Random-Forest Approach to Auto-Tuning Hadoop's Configuration. IEEE Trans. Parallel Distributed Syst. 27(5): 1470-1483 (2016) - [c2]Ni Luo, Zhibin Yu, Zhendong Bei, Chengzhong Xu
Performance Modeling for Spark Using SVM. CCBD 2016: 127-131 - 2013
- [c1]Wen Xiong, Zhibin Yu, Zhendong Bei, Juanjuan Zhao, Fan Zhang, Yubin Zou, Xue Bai, Ye Li, Cheng-Zhong Xu
A characterization of big data benchmarks. IEEE BigData 2013: 118-125
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