ATH: Auto-Tuning HBase’s Configuration via Ensemble Learning

Author:

Xiong WenORCID,Bei ZhengdongORCID,Xu Chengzhong,Yu Zhibin

Funder

National Key Research and Development Program

Major Scientific and Technological Project of Guangdong Province

Shenzhen Technology Research Project

Shenzhen Peacock Project

Outstanding Technical Talent Program of CAS

NSFC

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 11 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. EFTuner: A Bi-Objective Configuration Parameter Auto-Tuning Method Towards Energy-Efficient Big Data Processing;Proceedings of the 14th Asia-Pacific Symposium on Internetware;2023-08-04

2. ATConf: auto-tuning high dimensional configuration parameters for big data processing frameworks;Cluster Computing;2022-10-14

3. JointConf: Jointly autotuning configuration parameters for modularized graph databases;Journal of Software: Evolution and Process;2022-07-29

4. On Performance Modeling and Prediction for Spark-HBase Applications in Big Data Systems;ICC 2022 - IEEE International Conference on Communications;2022-05-16

5. Linux Storage IO Important Parameters Filtering Model Based on Random Forest;2021 16th International Conference on Intelligent Systems and Knowledge Engineering (ISKE);2021-11-26

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