Virtualization in Cloud Computing: Moving from Hypervisor to Containerization—A Survey

Containers emerged as a lightweight alternative to virtual machines that offer better microservice architecture support. They are widely used by organizations to deploy their increasingly diverse workloads derived from modern applications such as big data, IoT, and edge/fog computing in either propr...

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Veröffentlicht in:Arabian journal for science and engineering (2011) Jg. 46; H. 9; S. 8585 - 8601
Hauptverfasser: Bhardwaj, Aditya, Krishna, C. Rama
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2021
Springer Nature B.V
Schlagworte:
Cloud computing
Clusters
Containers
Data centers
Engineering
Humanities and Social Sciences
Monitoring
multidisciplinary
Research Article-Computer Engineering and Computer Science
Science
Technology assessment
Virtual environments
Cloud computing
Containerization
Hypervisor
Virtualization
ISSN:2193-567X, 1319-8025, 2191-4281
Online-Zugang:Volltext
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Zusammenfassung:Containers emerged as a lightweight alternative to virtual machines that offer better microservice architecture support. They are widely used by organizations to deploy their increasingly diverse workloads derived from modern applications such as big data, IoT, and edge/fog computing in either proprietary clusters or private, public cloud data centers. With the growing interest in container-based virtualization technologies, the requirement to explore the deployment and orchestration of clusters of containers has become a central research problem. Although progress has been made to study containerization, systematic consolidation of the existing literature with a summative evaluation is still missing. To fill this gap, in this paper, we first taxonomically classify the existing research studies on the performance comparison between hypervisor and container technology and then analyze state-of-the-art for container cluster management orchestration systems, its performance monitoring tools, and finally future research trends. This results in a better understanding of container technology with attention to provide summative analysis in terms of (i) how much performance overhead is generated by a hypervisor compared to container-based virtualization, (ii) which container technology is suited for a cloud application deployment based on the type of benchmark executing, (iii) how to provide management of containers deployed in a cluster environment, (iv) container performance monitoring tools, and (v) finally emerging concerns for future research directions.
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ISSN:2193-567X
1319-8025
2191-4281
DOI:10.1007/s13369-021-05553-3