Containers vs. virtual machines: performance comparison

Author:

RAMIREZ-PERALTA David1,ALCUDIA-FUENTES Ever1

Affiliation:

1. TecNM campus Comalcalco

Abstract

Server virtualization is a technological innovation widely used in information technology (IT) companies. Virtualization provides a platform to run different operating system services in the cloud. It makes it easy to build multiple virtual machines on a single basic physical machine, either in the form of hypervisors or containers. To host many microservices applications, emerging technology has introduced a model consisting of different operations performed by smaller individual deployed services. Therefore, the demand for low-cost virtualization techniques is developing rapidly. There are many lightweight virtualization technologies; Docker is one of them, which is an open-source platform. This technology enables developers and system administrators to build, create, and run applications using the Docker engine. This document provides performance evaluation of Docker containers and virtual machines using standard benchmark tools such as Sysbench, Phoronix, and Apache, including CPU performance, memory performance, storage read/write performance, load test and measurement of operating speed.

Publisher

ECORFAN

Reference17 articles.

1. Babak Bashari, R., Harrison, J. B. and Mohammad A. (2017). An Introduction to Docker and Analysis of its Performance. IJCSNS International Journal of Computer Science and Network Security, VOL.17 No.3, pp 228-229.

2. Chae, M., Lee, H. and Lee, K. (2019). A performance comparison of linux containers and virtual machines using Docker and KVM. Cluster Comput 22, 1765–1775. https://doi.org/10.1007/s10586-017-1511-2.

3. Docker. [Online] https://docs.docker.com/get-started/overview/ Accessed: 22-03-2021

4. Evens Cubillos, E. J. (2021). Saldo y disponibilidad en la nube para navegación 2.0 (Doctoral dissertation, Universidad Andrés Bello).

5. Higgins J., Holmes V. and Venters C. (2015) Orchestrating Docker Containers in the HPC Environment. In: Kunkel J., Ludwig T. (eds) High Performance Computing. ISC High Performance 2015. Lecture Notes in Computer Science, vol 9137. Springer, Cham. https://doi.org/10.1007/978-3-319-20119-1_36

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