A comparative analysis of virtual machines and containers using queuing models

Virtual machines (VMs) and containers are two prevalent technologies in cloud computing, each offering distinct advantages depending on the use case. VMs emulate entire operating systems, including kernels, while containers share the host OS kernel, making them lightweight and resource-efficient. This paper presents a novel method for comparing the performance of VMs and containers using queuing models. The proposed method not only provides a more accurate and flexible comparison but also significantly reduces the time required to calculate and perform performance metrics compared to traditional empirical benchmarking and simulation-based approaches. Through this comparison, the paper highlights the conditions under which containers outperform VMs, particularly in modern, cloud-native environments.

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Publication Details

Journal
THE SCIENTIFIC TEMPER
Published
2024-10-16
DOI
https://doi.org/10.58414/scientifictemper.2024.15.spl.01
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
Field-Weighted Citation Impact
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article

A comparative analysis of virtual machines and containers using queuing models

A. Nisha Jebaseeli, Adarsh Anand
THE SCIENTIFIC TEMPER
Advanced Manufacturing and Logistics Optimization
article

A comparative analysis of virtual machines and containers using queuing models

A. Nisha Jebaseeli, Adarsh Anand
article en

Abstract

Virtual machines (VMs) and containers are two prevalent technologies in cloud computing, each offering distinct advantages depending on the use case. VMs emulate entire operating systems, including kernels, while containers share the host OS kernel, making them lightweight and resource-efficient. This paper presents a novel method for comparing the performance of VMs and containers using queuing models. The proposed method not only provides a more accurate and flexible comparison but also significantly reduces the time required to calculate and perform performance metrics compared to traditional empirical benchmarking and simulation-based approaches. Through this comparison, the paper highlights the conditions under which containers outperform VMs, particularly in modern, cloud-native environments.

THE SCIENTIFIC TEMPERVol. 15(spl-1)
Bharathidasan University (IN)
Openalex Percentile: Top 63%
Advanced Manufacturing and Logistics Optimization
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A comparative analysis of virtual machines and containers using queuing models — A. Nisha Jebaseeli, Adarsh Anand · THE SCIENTIFIC TEMPER (2024) | TGRS Research Map | TGRS