Parameter Optimization of Spark in Heterogeneous Environment Based on Hyperband-Reference-Cited by-同舟云学术

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Parameter Optimization of Spark in Heterogeneous Environment Based on Hyperband

Published:2021-12 Issue: Volume: Page:
ISSN:
Container-title:2021 2nd International Conference on Big Data Economy and Information Management (BDEIM)
language:
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Author:

Chang Dajun¹,Qiao Zhangquan¹,Li Li¹,Zheng Qi¹

Affiliation:

1. Changchun University of Science and Technology,College of Computer Science and Technology,Changchun, Jilin,China,130022

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9708726/9708915/09709002.pdf?arnumber=9709002

Reference12 articles.

1. Hadoop MapReduce job parameter performance analysis and prediction based on gray box model;shilong;Journal of SiChuan University (Engineering Science Edition),2014

2. A Spark Streaming parameter optimization method based on deep reinforcement learning;lu;Computer and Modernization,2021

3. Parameter optimization for Spark jobs based on runtime data analysis;qiao'an;Computing in Science & Eng,2016

4. Tuning Performance of Spark Programs

5. Survey on performance optimization technologies for Spark;husheng;Computer Science,2018

Cited by 3 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. QHB⁺: Accelerated Configuration Optimization for Automated Performance Tuning of Spark SQL Applications;IEEE Access;2024

2. Simulation Research on Fast Matching of Big Data Based on Spark;IEEE Access;2023

3. Spark Configurations to Optimize Decision Tree Classification on UNSW-NB15;Big Data and Cognitive Computing;2022-04-07

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