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Communication Dans Un Congrès Année : 2019

A Multi-Objective Service Placement and Load Distribution in Edge Computing

Résumé

Edge Computing emerges as a solution that overcomes some obstacles of traditional central data centers to support the performance-critical Internet of Things applications. However, a challenge therein is the resource allocation for heterogeneous applications at a network edge composed of distributed and resource-restricted nodes. In this paper, we investigate how to place replicas of applications, and distribute requests among these replicas to optimize multiple objectives. We propose a genetic algorithm based on Pareto fronts as a problem-solving metaheuristic to prioritize latency-sensitive applications and optimize conflicted objectives. Evaluation results show that our proposal outperforms other benchmark algorithms in terms of response deadline violation, as well as terms of other important and sometimes conflicting objectives, such as cost and availability.
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Dates et versions

hal-03939164 , version 1 (14-01-2023)

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Adyson Maia, Yacine Ghamri-Doudane, Dario Vieira, Miguel de Castro. A Multi-Objective Service Placement and Load Distribution in Edge Computing. GLOBECOM 2019 - 2019 IEEE Global Communications Conference, Dec 2019, Waikoloa, United States. pp.1-7, ⟨10.1109/GLOBECOM38437.2019.9014303⟩. ⟨hal-03939164⟩

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