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  4. Benchmarking Virtual Machine and Container-based Services for DNN Training
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Benchmarking Virtual Machine and Container-based Services for DNN Training

Journal
2021 29th Telecommunications Forum (TELFOR)
Date Issued
2021-11-23
Author(s)
Postolovski, Damjan
Kjirovski, Kiril
DOI
10.1109/telfor52709.2021.9653280
Abstract
Containerized infrastructure is becoming the leading strategy for deployment and operation of software components including trending neural networks. Training neural networks requires computational resources and complex software environments with a lot of dependencies. In this regard, containers can solve some of the software related challenges. We perform benchmarks to compare the performances of containers inside a virtual machine and a bare metal model for training three artificial neural networks on two leading cloud providers. The results show negligible performance drawback for using containers in the stack tested on Google Cloud and clear performance advantages in Amazon Web Services.
Subjects

Benchmark

Deep Neural Network

Virtual Machines

Neural Network

Artificial Neural Net...

Neural Network Traini...

Amazon Web Services

Containerized

Bare Metal

Cloud Providers

Transformer

Image Classification

Object Detection

Processing Unit

Graphics Processing U...

Speech Recognition

TensorFlow

High-performance Comp...

Machine Translation

Google Cloud Platform...

Use Of Containers

Throughput Time

Image Object Detectio...

Docker Container

Virtualization Techno...

Wall-clock Time

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