Application Migrations in Edge Computing Using Real-Time Workload Ranking Algorithm

Saravanan Velrajan, Thangakumar Jeyaprakash

2025

Abstract

Service Providers host a multitude of diverse applications in edge clouds in 5G networks for improving the user experience. The demand for automation of workflows in different industries has created the need for 5G-based private wireless networks with edge infrastructure. The varied nature of the workloads hosted at the edge clouds, lead to increased focus on service quality and performance. Application workload migrations are done in edge infrastructure to improve the SLA adherence of services and to improve user experience. This research proposes a new adaptive ranking approach for application workload migrations in edge computing. The proposed Adaptive Workload Ranking Algorithm (AWRA) predicts the available time for workload migrations and triggers migration of application workloads. The selection of workloads to be migrated is made by balancing the resource utilisation of application instances and the estimated time taken for migration. Our experiments demonstrate that AWRA effectively manages overload conditions of varied applications hosted in edge infrastructure. AWRA outperformed state-of-the art algorithms such as ASMWA and EWMA3 in minimising SLA violations during workload migrations.

Paper Citation

in Harvard Style

Velrajan S. and Jeyaprakash T. (2025). Application Migrations in Edge Computing Using Real-Time Workload Ranking Algorithm. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 2: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 320-327. DOI: 10.5220/0013591600004664

in Bibtex Style

@conference{incoft25,
author={Saravanan Velrajan and Thangakumar Jeyaprakash},
title={Application Migrations in Edge Computing Using Real-Time Workload Ranking Algorithm},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 2: INCOFT},
year={2025},
pages={320-327},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013591600004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 2: INCOFT
TI - Application Migrations in Edge Computing Using Real-Time Workload Ranking Algorithm
SN - 978-989-758-763-4
AU - Velrajan S.
AU - Jeyaprakash T.
PY - 2025
SP - 320
EP - 327
DO - 10.5220/0013591600004664
PB - SciTePress