Low-Level Augmented Bayesian Optimization for Finding the Best Cloud VM

Low-Level Augmented Bayesian Optimization for Finding the Best Cloud VM

28 December 2017

Vincent W. Freeh

Papers citing "Low-Level Augmented Bayesian Optimization for Finding the Best Cloud VM"

19 / 19 papers shown

Title
Selecting Efficient Cluster Resources for Data Analytics: When and How to Allocate for In-Memory Processing? Jonathan Will L. Thamsen Dominik Scheinert O. Kao 25 2 0 06 Jun 2023
Predicting the Performance-Cost Trade-off of Applications Across Multiple Systems Amir Nassereldine Safaa Diab M. Baydoun Kenneth Leach M. Alt D. Milojicic I. E. Hajj 19 3 0 04 Apr 2023
Ruya: Memory-Aware Iterative Optimization of Cluster Configurations for Big Data Processing Jonathan Will L. Thamsen Jonathan Bader Dominik Scheinert O. Kao 22 4 0 08 Nov 2022
RIBBON: Cost-Effective and QoS-Aware Deep Learning Model Inference using a Diverse Pool of Cloud Computing Instances Baolin Li Rohan Basu Roy Tirthak Patel V. Gadepally K. Gettings Devesh Tiwari 40 25 0 23 Jul 2022
Get Your Memory Right: The Crispy Resource Allocation Assistant for Large-Scale Data Processing Jonathan Will L. Thamsen Jonathan Bader Dominik Scheinert O. Kao 28 8 0 28 Jun 2022
Collaborative Cluster Configuration for Distributed Data-Parallel Processing: A Research Overview L. Thamsen Dominik Scheinert Jonathan Will Jonathan Bader O. Kao 19 3 0 01 Jun 2022
LOCAT: Low-Overhead Online Configuration Auto-Tuning of Spark SQL Applications Jinhan Xin K. Hwang Zhibin Yu 16 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 24 4 0 15 Nov 2021
Tarema: Adaptive Resource Allocation for Scalable Scientific Workflows in Heterogeneous Clusters Jonathan Bader L. Thamsen S. Kulagina Jonathan Will Henning Meyerhenke O. Kao 16 22 0 09 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 24 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 29 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 21 15 0 28 Jul 2021
With Great Freedom Comes Great Opportunity: Rethinking Resource Allocation for Serverless Functions Muhammad Bilal Marco Canini Rodrigo Fonseca Rodrigo Rodrigues 30 38 0 31 May 2021
Towards Collaborative Optimization of Cluster Configurations for Distributed Dataflow Jobs Jonathan Will Jonathan Bader L. Thamsen 16 11 0 16 Nov 2020
TrimTuner: Efficient Optimization of Machine Learning Jobs in the Cloud via Sub-Sampling Pedro Mendes Maria Casimiro Paolo Romano David Garlan 22 18 0 09 Nov 2020
Fast and Low-cost Search for Efficient Cloud Configurations for HPC Workloads V. M. Rosário Thais A. Silva Camacho O. O. Napoli E. Borin 16 5 0 28 Jun 2020
Lynceus: Cost-efficient Tuning and Provisioning of Data Analytic Jobs Maria Casimiro Diego Didona Paolo Romano L. Rodrigues Willy Zwanepoel David Garlan 14 20 0 06 May 2019
Micky: A Cheaper Alternative for Selecting Cloud Instances Chin-Jung Hsu V. Nair Tim Menzies Vincent W. Freeh 22 44 0 15 Mar 2018
Max-value Entropy Search for Efficient Bayesian Optimization Zi Wang Stefanie Jegelka 110 404 0 06 Mar 2017