End-to-End Network and Computation Resource Allocation for Task Offloading in Mobile Networks

This paper introduces a joint network and computation resource management framework for mobile networks, aiming to minimize task completion times in offloading scenarios. A task management function (TMF) is designed to coordinate resources across network entities, optimizing both network and computation resources while ensuring tasks meet their deadlines. In addition, a low-complexity heuristic algorithm is developed. It operates with two sub-algorithms: initial resource allocation algorithm and resource adjustment algorithm.

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Publication Details

Published
2025-01-15
DOI
https://doi.org/10.1109/icoin63865.2025.10993088
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
0.00

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article

End-to-End Network and Computation Resource Allocation for Task Offloading in Mobile Networks

Haneul Ko, Ji Hyun Lee, Yu-Mi Kim
IoT and Edge/Fog Computing
article

End-to-End Network and Computation Resource Allocation for Task Offloading in Mobile Networks

Haneul Ko, Ji Hyun Lee, Yu-Mi Kim
article en

Abstract

This paper introduces a joint network and computation resource management framework for mobile networks, aiming to minimize task completion times in offloading scenarios. A task management function (TMF) is designed to coordinate resources across network entities, optimizing both network and computation resources while ensuring tasks meet their deadlines. In addition, a low-complexity heuristic algorithm is developed. It operates with two sub-algorithms: initial resource allocation algorithm and resource adjustment algorithm.

Kyung Hee University (KR)
National Research Foundation
Openalex Percentile: Top 90%
IoT and Edge/Fog Computing
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