EFTuner: A Bi-Objective Configuration Parameter Auto-Tuning Method Towards Energy-Efficient Big Data Processing
Author:
Affiliation:
1. Anhui University, China
2. Sun Yat-sen University, China
3. Wannan Medical College, China
Funder
National Science Foundation of China
University Collaborative Innovation Project of Anhui Province
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3609437.3609443
Reference29 articles.
1. OSC: An Online Self-Configuring Big Data Framework for Optimization of QoS (TC-2020-02-0128.R1)
2. Len Brown. 2023. Turbostat. https://www.mankier.com/8/turbostat. Accessed on Feb 20 2023. Len Brown. 2023. Turbostat. https://www.mankier.com/8/turbostat. Accessed on Feb 20 2023.
3. SLA-aware energy-efficient scheduling scheme for Hadoop YARN
4. CGPTuner
5. Minimizing Inter-Server Communications by Exploiting Self-Similarity in Online Social Networks
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