Docker Containers Versus Virtual Machine-Based Virtualization

Yadav, Anuj Kumar; Garg, M. L.; Ritika, .

doi:10.1007/978-981-13-1501-5_12

Cited by 40 publications

(18 citation statements)

References 9 publications

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“…Both virtual machines and containers allow the isolation of applications, allowing them to run in various environments. The main differences are in size, portability, deployment and scalability [19,20]. The containers are so much smaller, typically megabytes and they do not require to pack anything other than the app itself and its running environment.…”

Section: Containerization and Dockermentioning

confidence: 99%

Edge Container for Speech Recognition

2021

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Containerization has been mainly used in pure software solutions, but it is gradually finding its way into the industrial systems. This paper introduces the edge container with artificial intelligence for speech recognition, which performs the voice control function of the actuator as a part of the Human Machine Interface (HMI). This work proposes a procedure for creating voice-controlled applications with modern hardware and software resources. The created architecture integrates well-known digital technologies such as containerization, cloud, edge computing and a commercial voice processing tool. This methodology and architecture enable the actual speech recognition and the voice control on the edge device in the local network, rather than in the cloud, like the majority of recent solutions. The Linux containers are designed to run without any additional configuration and setup by the end user. A simple adaptation of voice commands via configuration file may be considered as an additional contribution of the work. The architecture was verified by experiments with running containers on different devices, such as PC, Tinker Board 2, Raspberry Pi 3 and 4. The proposed solution and the practical experiment show how a voice-controlled system can be created, easily managed and distributed to many devices around the world in a few seconds. All this can be achieved by simple downloading and running two types of ready-made containers without any complex installations. The result of this work is a proven stable (network-independent) solution with data protection and low latency.

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Section: Containerization and Dockermentioning

confidence: 99%

Edge Container for Speech Recognition

2021

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“…Para Yadav et al (2019) existen diferentes tipos de contenedores o podemos decir modelos de entrega de acuerdo con los diferentes sistemas operativos:…”

Section: C4-4unclassified

Tecnología de contenedores y su aplicación en el aprendizaje de ciberseguridad: una revisión sistemática de literatura

Chingo

Gómez

2021

recibe

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El aprendizaje de Ciberseguridad por su naturaleza cambiante exige de procesos cognitivos tanto teóricos como prácticos, particularmente, los prácticos requieren de entornos hiperrealistas que no pongan en riesgo infraestructura real o acarreen situaciones de índole legal, estas plataformas que contienen dichos entornos, son conocidos como ciber-rangos, debido a su complejidad pueden ser costosos y difíciles de implementar por lo que gran parte de los esfuerzos para su aprendizaje y enseñanza han estado enfocados en la utilización de distintas tecnologías que mejoren estos aspectos, así se ha empezado a utilizar la virtualización por contenedores que presenta ligereza y flexibilidad en su aplicación. En este artículo se presentan los resultados de una Revisión Sistemática de la Literatura realizada para identificar y caracterizar estudios primarios vinculados con la tecnología de contenedores aplicados a la enseñanza de la ciberseguridad. Los resultados obtenidos muestran que existen diversos estudios primarios que investigan la utilización de la tecnología de contenedores en el aprendizaje de Ciberseguridad; siendo la gran mayoría propuestas de plataformas, ciber-rangos (Cyber Ranges), laboratorios virtuales y CTFs (Capture The Flag) debido a la escasez de software especializado para el aprendizaje de Ciberseguridad.

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“…This leads according to the improvement in Linux containers where only those sources required with the aid of the choice of the features stay used. In container-based systems, applications participate an operating system, therefore these implementations can be essentially smaller in estimation, otherwise hypervisor (5,6) .…”

Section: Introductionmentioning

confidence: 99%

Performance evaluation of virtual cloud labs using hypervisor and container

Elbelgehy¹

2020

IJST

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Objectives: To measure the performance of docker swarm technology in virtual labs. Methods : The virtual laboratory is developed as a group of four system machines (VMs) on the same host computer as a cluster. The simulation depends on Linux OS, VirtualBox, Docker Swarm, Nginx, and Redis tools. Visualizing the tracing process by using portainer. Findings: The performance analysis of building virtual labs and running six main educational services using docker swarm virtualization technology are explained in detail. The experimental results have shown that the maximum utilization of the central processing unit (CPU) has reached 13% only for the nodes, 11% for the services, and 1% for the container, which considered very efficient in terms of processing. Moreover, the results have proved the effectiveness of the docker swarm in terms of memory usage since the maximum memory usage of nodes reached 101 MB, 103 MB for Container, and only 2% for each service. Additionally, the maximum network transition has reached (941 Bps) for service. Novelty/Applications: Building Cloud Virtual Labs enable students to connect remotely to the virtual machine at anytime and anywhere. Also, these labs enable instructors to trace the students' progress and manage the evaluation process.

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Docker Containers Versus Virtual Machine-Based Virtualization

Cited by 40 publications

References 9 publications

Edge Container for Speech Recognition

Edge Container for Speech Recognition

Tecnología de contenedores y su aplicación en el aprendizaje de ciberseguridad: una revisión sistemática de literatura

Performance evaluation of virtual cloud labs using hypervisor and container

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