Best VM Selection for Big Data Applications across Multiple Frameworks by Transfer Learning

Author:

Wu Yuewen1,Wu Heng1,Xu Yuanjia2,Hu Yi2,Zhang Wenbo1,Zhong Hua1,Huang Tao1

Affiliation:

1. Institute of Software, Chinese Academy of Sciences, China

2. University of Chinese Academy of Sciences and Institute of Software, Chinese Academy of Sciences, China

Funder

National Key R&D Program of China

Publisher

ACM

Reference30 articles.

1. Omid Alipourfard Hongqiang Harry Liu Jianshu Chen Shivaram Venkataraman Minlan Yu and Ming Zhang. 2017. CherryPick: Adaptively Unearthing the Best Cloud Configurations for Big Data Analytics.. In NSDI Vol. 2. 4–2. Omid Alipourfard Hongqiang Harry Liu Jianshu Chen Shivaram Venkataraman Minlan Yu and Ming Zhang. 2017. CherryPick: Adaptively Unearthing the Best Cloud Configurations for Big Data Analytics.. In NSDI Vol. 2. 4–2.

2. Byzantine stochastic gradient descent;Alistarh Dan;Advances in Neural Information Processing Systems,2018

3. Near Optimal Coded Data Shuffling for Distributed Learning;Attia A.;IEEE Transactions on Information Theory,2019

4. Finding the right cloud configuration for analytics clusters

5. On optimizing operator fusion plans for large-scale machine learning in systemML

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1. Dynamic Optimization of Provider-Based Scheduling for HPC Workloads;2023 International Conference on Software, Telecommunications and Computer Networks (SoftCOM);2023-09-21

2. Serving unseen deep learning models with near-optimal configurations;Proceedings of the 13th Symposium on Cloud Computing;2022-11-07

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