Multi‐Objective Dynamic Registry Provisioning in Edge Computing Infrastructures

ABSTRACT The rise of mobile devices and IoT sensors has led to the development of latency‐sensitive, data‐oriented, and resource‐intensive applications. These devices often lack sufficient processing and storage capabilities, but cloud computing can provide the necessary support. However, the distance to cloud data centers causes communication delays. Edge computing addresses this by bringing computational resources closer to users, and improving latency and bandwidth. Container‐based virtualization further enhances QoS and QoE due to its lightweight nature, enabling faster application provisioning and reduced resource overhead. Despite these benefits, container provisioning faces significant overhead during content downloads from registries. Existing solutions often focus only on reducing provisioning time, neglecting critical metrics like latency and resource usage. Some approaches use complex techniques like registry migration, which can harm network utilization. We introduce MODyn, a multi‐objective dynamic provisioning strategy for container registries. MODyn allocates container registries to edge servers based on infrastructure analysis, eliminating the need for resource migration. Our evaluation shows that MODyn balances provisioning time, latency, and resource usage, optimizing container‐based application deployment in edge computing.

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Publication Details

Journal
Concurrency and Computation Practice and Experience
Published
2025-02-16
DOI
https://doi.org/10.1002/cpe.70006
Citations
1
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
1.49

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article

Multi‐Objective Dynamic Registry Provisioning in Edge Computing Infrastructures

Tiago Ferreto, Lucas Roges
1 citations
Concurrency and Computation Practice and Experience
IoT and Edge/Fog Computing
1.49
article

Multi‐Objective Dynamic Registry Provisioning in Edge Computing Infrastructures

Tiago Ferreto, Lucas Roges
article en
1 citations

Abstract

ABSTRACT The rise of mobile devices and IoT sensors has led to the development of latency‐sensitive, data‐oriented, and resource‐intensive applications. These devices often lack sufficient processing and storage capabilities, but cloud computing can provide the necessary support. However, the distance to cloud data centers causes communication delays. Edge computing addresses this by bringing computational resources closer to users, and improving latency and bandwidth. Container‐based virtualization further enhances QoS and QoE due to its lightweight nature, enabling faster application provisioning and reduced resource overhead. Despite these benefits, container provisioning faces significant overhead during content downloads from registries. Existing solutions often focus only on reducing provisioning time, neglecting critical metrics like latency and resource usage. Some approaches use complex techniques like registry migration, which can harm network utilization. We introduce MODyn, a multi‐objective dynamic provisioning strategy for container registries. MODyn allocates container registries to edge servers based on infrastructure analysis, eliminating the need for resource migration. Our evaluation shows that MODyn balances provisioning time, latency, and resource usage, optimizing container‐based application deployment in edge computing.

Concurrency and Computation Practice and ExperienceVol. 37(4-5)
Pontifícia Universidade Católica do Rio Grande do Sul (BR)
Dell Technologies
Openalex Percentile: Top 20%
IoT and Edge/Fog Computing
1.49
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