Performance Evaluation of Container-based Virtualization for High Performance Computing Environments
Facultad de Ingenieria, Escuela de Ingenieria de Sistemas y Computacion, Universidad del Valle, Colombia
arXiv:1709.10140 [cs.OS], (28 Sep 2017)
@article{arango2017performance,
title={Performance Evaluation of Container-based Virtualization for High Performance Computing Environments},
author={Arango, Carlos and Dernat, Remy and Sanabria, John},
year={2017},
month={sep},
archivePrefix={"arXiv"},
primaryClass={cs.OS}
}
Virtualization technologies have evolved along with the development of computational environments since virtualization offered needed features at that time such as isolation, accountability, resource allocation, resource fair sharing and so on. Novel processor technologies bring to commodity computers the possibility to emulate diverse environments where a wide range of computational scenarios can be run. Along with processors evolution, system developers have created different virtualization mechanisms where each new development enhanced the performance of previous virtualized environments. Recently, operating system-based virtualization technologies captured the attention of communities abroad (from industry to academy and research) because their important improvements on performance area. In this paper, the features of three container-based operating systems virtualization tools (LXC, Docker and Singularity) are presented. LXC, Docker, Singularity and bare metal are put under test through a customized single node HPL-Benchmark and a MPI-based application for the multi node testbed. Also the disk I/O performance, Memory (RAM) performance, Network bandwidth and GPU performance are tested for the COS technologies vs bare metal. Preliminary results and conclusions around them are presented and discussed.
October 3, 2017 by hgpu
