Tuneful: An Online Significance-Aware Configuration Tuner for Big Data Analytics

22 January 2020

Papers citing "Tuneful: An Online Significance-Aware Configuration Tuner for Big Data Analytics"

6 / 6 papers shown

Title
Transfer-Learning-Based Autotuning Using Gaussian Copula Thomas Randall Jaehoon Koo B. Videau Michael Kruse Xingfu Wu P. Hovland Mary W. Hall Rong Ge Prasanna Balaprakash 43 3 0 09 Jan 2024
LOCAT: Low-Overhead Online Configuration Auto-Tuning of Spark SQL Applications Jinhan Xin K. Hwang Zhibin Yu 27 19 0 28 Mar 2022
Training Data Reduction for Performance Models of Data Analytics Jobs in the Cloud Jonathan Will Onur Arslan Jonathan Bader Dominik Scheinert L. Thamsen 35 4 0 15 Nov 2021
Enel: Context-Aware Dynamic Scaling of Distributed Dataflow Jobs using Graph Propagation Dominik Scheinert Houkun Zhu L. Thamsen Morgan K. Geldenhuys Jonathan Will Alexander Acker O. Kao 27 11 0 27 Aug 2021
Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts Dominik Scheinert L. Thamsen Houkun Zhu Jonathan Will Alexander Acker Thorsten Wittkopp O. Kao 35 15 0 29 Jul 2021
C3O: Collaborative Cluster Configuration Optimization for Distributed Data Processing in Public Clouds Jonathan Will L. Thamsen Dominik Scheinert Jonathan Bader O. Kao 35 15 0 28 Jul 2021