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You Only Run Once: Spark Auto-Tuning From a Single Run

  • Published:2020-12 Issue:4 Volume:17 Page:2039-2051
  • ISSN:1932-4537
  • Container-title:IEEE Transactions on Network and Service Management
  • language:
  • Short-container-title:IEEE Trans. Netw. Serv. Manage.

Author:

Prats David BuchacaORCID,Portella Felipe AlbuquerqueORCID,Costa Carlos H. A.,Berral Josep LluisORCID

Funder

European Research Council

European Union’s Horizon 2020 research and innovation programme

Spanish Ministry of Economy

Generalitat de Catalunya

ICREA Academia program

BSC-CNS Severo Ochoa program

Petroleo Brasileiro S. A.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Cited by 14 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. A novel framework for generic Spark workload characterization and similar pattern recognition using machine learning;Journal of Parallel and Distributed Computing;2024-07

2. Performance optimization of Spark MLlib workloads using cost efficient RICG model on exponential projective sampling;Cluster Computing;2024-05-08

3. Semantic Feature-Driven Automatic Parameter Optimization of Apache Spark;2024 4th International Conference on Neural Networks, Information and Communication (NNICE);2024-01-19

4. Tuning parameters of Apache Spark with Gauss–Pareto-based multi-objective optimization;Knowledge and Information Systems;2023-12-13

5. Rover: An Online Spark SQL Tuning Service via Generalized Transfer Learning;Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2023-08-04
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