Reactive vs Predictive Live Migration in Edge Cloud

Conference paper

Rani, D., Ghosh, S. and Dagiuklas, A. (2024). Reactive vs Predictive Live Migration in Edge Cloud. IEEE ICC. Denver 13 Feb - 09 Jun 2024 IEEE. https://doi.org/10.1109/ICC51166.2024.10622687
AuthorsRani, D., Ghosh, S. and Dagiuklas, A.
TypeConference paper
Abstract

Migrating services in an edge-cloud environ- ment poses unique challenges, including heterogeneous en- vironments, potential failures, and uneven resource distri- bution. This paper studies and evaluate reactive and predic- tive migration approaches to support live migration in case of edge cloud computing failures. Telemetry information relate to edge cloud computing have been considered to trigger migration, whereas deadlock prevention algorithm has been used to determine and select the target device to migrate services. The paper evaluates these strategies by comparing resource utilization, assessing differences between predictive and reactive migration and handling multiple migrations for tenants hosting numerous appli- cations. Experimental results have shown that predictive migration can reduce the downtime of the hosted services. Additionally, the total migration cost can be increased for both scenarios where the containers can be migrated to different edge devices due to lack of available resources

Keywordsedge, migration, reactive, predictive, MADM, LSTM, banker’s algorithm, edge computing
Year2024
JournalICC 2024 - IEEE International Conference on Communications
PublisherIEEE
Digital Object Identifier (DOI)https://doi.org/10.1109/ICC51166.2024.10622687
Web address (URL)https://ieeexplore.ieee.org/document/10622687
Accepted author manuscript
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Open
Publication dates
Online20 Aug 2024
Publication process dates
Accepted17 Jan 2024
Deposited29 Aug 2024
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https://openresearch.lsbu.ac.uk/item/96459

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