Spark Parameter Tuning via Trial-and-Error-Reference-Cited by-同舟云学术

Spark Parameter Tuning via Trial-and-Error

Published:2016-10-08 Issue: Volume: Page:226-237
ISSN:2194-5357
Container-title:Advances in Big Data
language:
Short-container-title:

Author:

Petridis Panagiotis,Gounaris Anastasios,Torres Jordi

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-47898-2_24

Reference10 articles.

1. Awan, A.J., Brorsson, M., Vlassov, V., Ayguade, E.: How data volume affects spark based data analytics on a scale-up server (2015). arXiv:1507.08340

2. Holl, S., Zimmermann, O., Palmblad, M., Mohammed, Y., Hofmann-Apitius, M.: A new optimization phase for scientific workflow management systems. Future Gener. Comput. Syst. 36, 352–362 (2014)

3. Karau, H., Konwinski, A., Wendell, P., Zaharia, M.: Learning Spark: Lightning-Fast Data Analysis. O’Reilly Media, Sebastopol (2015)

4. Ousterhout, K., Rasti, R., Ratnasamy, S., Shenker, S., Chun, B.G.: Making sense of performance in data analytics frameworks. In: 12th USENIX Symposium on Networked Systems Design and Implementation (NSDI 2015), pp. 293–307 (2015)

5. Petridis, P., Gounaris, A., Torres, J.: Spark parameter tuning via trial-and-error. arXiv:1607.07348

Cited by 20 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. Performance optimization of Spark MLlib workloads using cost efficient RICG model on exponential projective sampling;Cluster Computing;2024-05-08

2. MFRLMO: Model-free reinforcement learning for multi-objective optimization of apache spark;ICST Transactions on Scalable Information Systems;2024-02-20

3. Co-Tuning of Cloud Infrastructure and Distributed Data Processing Platforms;2023 IEEE International Conference on Big Data (BigData);2023-12-15

4. Performance Driven Experimental Analysis of Apache Spark Configuration Parameters;2023 7th International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS);2023-11-02

5. Mjolnir: A framework agnostic auto-tuning system with deep reinforcement learning;Applied Intelligence;2022-10-20