Seamless Transitions: A Comprehensive Review of Live Migration Technologies

Fuente: arXiv
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Hauptverfasser: Attar-Khorasani, Sima, Sherpa, Lincoln, Lieber, Matthias, Ghiasvand, Siavash
Format: Preprint
Veröffentlicht: 2025
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author Attar-Khorasani, Sima
Sherpa, Lincoln
Lieber, Matthias
Ghiasvand, Siavash
author_facet Attar-Khorasani, Sima
Sherpa, Lincoln
Lieber, Matthias
Ghiasvand, Siavash
contents Live migration, a technology enabling seamless transition of operational computational entities between various hosts while preserving continuous functionality and client connectivity, has been the subject of extensive research. However, existing reviews often overlook critical technical aspects and practical challenges integral to the usage of live migration techniques in real-world scenarios. This work bridges this gap by integrating the aspects explored in existing reviews together with a comprehensive analysis of live migration technologies across multiple dimensions, with focus on migration techniques, migration units, and infrastructure characteristics. Despite efforts to make live migration widely accessible, its reliance on multiple system factors can create challenges. In certain cases, the complexities and resource demands outweigh the benefits, making its implementation hard to justify. The focus of this work is mainly on container based and virtual machine-based migration technologies, examining the current state of the art and the disparity in adoption between these two approaches. Furthermore, this work explores the impact of migration objectives and operational constraints on the usability and efficacy of existing technologies. By outlining current technical challenges and providing guidelines for future research and development directions, this work serves a dual purpose: first, to equip enthusiasts with a valuable resource on live migration, and second, to contribute to the advancement of live migration technologies and their practical implementation across diverse computing environments.
format Preprint
id arxiv_https___arxiv_org_abs_2512_10979
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Seamless Transitions: A Comprehensive Review of Live Migration Technologies
Attar-Khorasani, Sima
Sherpa, Lincoln
Lieber, Matthias
Ghiasvand, Siavash
Distributed, Parallel, and Cluster Computing
Live migration, a technology enabling seamless transition of operational computational entities between various hosts while preserving continuous functionality and client connectivity, has been the subject of extensive research. However, existing reviews often overlook critical technical aspects and practical challenges integral to the usage of live migration techniques in real-world scenarios. This work bridges this gap by integrating the aspects explored in existing reviews together with a comprehensive analysis of live migration technologies across multiple dimensions, with focus on migration techniques, migration units, and infrastructure characteristics. Despite efforts to make live migration widely accessible, its reliance on multiple system factors can create challenges. In certain cases, the complexities and resource demands outweigh the benefits, making its implementation hard to justify. The focus of this work is mainly on container based and virtual machine-based migration technologies, examining the current state of the art and the disparity in adoption between these two approaches. Furthermore, this work explores the impact of migration objectives and operational constraints on the usability and efficacy of existing technologies. By outlining current technical challenges and providing guidelines for future research and development directions, this work serves a dual purpose: first, to equip enthusiasts with a valuable resource on live migration, and second, to contribute to the advancement of live migration technologies and their practical implementation across diverse computing environments.
title Seamless Transitions: A Comprehensive Review of Live Migration Technologies
topic Distributed, Parallel, and Cluster Computing
url https://arxiv.org/abs/2512.10979