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Homogeneous and Automated Migration of Virtual Machines Between Multiple Public Clouds

Published: 07 November 2022 Publication History

Abstract

The objective of this work is to analyze the required steps for automated migration of Virtual Machines (VMs) using a proposed solution, called Kumo, through scenarios using public clouds, such as Amazon Web Services (AWS), Microsoft Azure (AZ) and Google Cloud Platform (GCP). A performance evaluation is carried out considering the Total Migration Time (TTM) metric between homogeneous and heterogeneous clouds. Among the homogeneous scenarios, which are those in which the source and destination clouds are from the same provider, but in different data centers, the best result occurred in migrations between Azure clouds, with average TTM of 45m59s. For heterogeneous, the best scenario was the GCP-AWS migration, with TTM of 45m56s. The nine steps for the automated migration of VMs were analyzed, showing that five of them combined significantly impacted, between 94.01% and 99.44%, the TTM of the 9 scenarios tested.

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    cover image ACM Conferences
    WebMedia '22: Proceedings of the Brazilian Symposium on Multimedia and the Web
    November 2022
    389 pages
    ISBN:9781450394093
    DOI:10.1145/3539637
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    Published: 07 November 2022

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    Author Tags

    1. Multicloud
    2. Public Clouds
    3. Virtual Machine Migration
    4. Web Services

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    WebMedia '22
    WebMedia '22: Brazilian Symposium on Multimedia and Web
    November 7 - 11, 2022
    Curitiba, Brazil

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