Scholarlink

<p>With the rise of Fifth-Generation (5&#xa0;G) networks, smart applications are becoming increasingly computation-intensive and latency-sensitive. To address these challenges, this paper introduces a novel intelligent broker-based architecture to manage distributed computing and dynamic workloads in Mobile Edge Computing (MEC) environments. Additionally, we propose a duopoly competition model to analyze the impact of price, Quality of Service (QoS) in terms of response time, and security on task offloading. A crucial aspect of this work is the use of the Price of Anarchy (PoA) to evaluate the effects of selfish behavior among Edge Providers (EPs) on system performance. Experimental results show that the proposed model quickly converges to a stable Nash Equilibrium (NE), defining an optimal offloading scheme that balances cost, service quality, and security, while ensuring fair competition among EPs.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Optimization of computational offloading in the mobile edge: a game theoretic approach

  • 期刊论文

  • 发表日期：

    2025年1月21日

查看全文
  • Abdelkarim Ait Temghart,
  • Mbarek Marwan,
  • Mohamed Baslam

摘要

With the rise of Fifth-Generation (5 G) networks, smart applications are becoming increasingly computation-intensive and latency-sensitive. To address these challenges, this paper introduces a novel intelligent broker-based architecture to manage distributed computing and dynamic workloads in Mobile Edge Computing (MEC) environments. Additionally, we propose a duopoly competition model to analyze the impact of price, Quality of Service (QoS) in terms of response time, and security on task offloading. A crucial aspect of this work is the use of the Price of Anarchy (PoA) to evaluate the effects of selfish behavior among Edge Providers (EPs) on system performance. Experimental results show that the proposed model quickly converges to a stable Nash Equilibrium (NE), defining an optimal offloading scheme that balances cost, service quality, and security, while ensuring fair competition among EPs.