协同云边缘计算动态资源调度的Stackelberg博弈模型

Xinjie Guan, Jia Yin, Xili Wan, Tianjing Wang, Guangwei Bai
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引用次数: 6

摘要

为了在保证用户体验的同时最小化运营商成本,提出了一种基于集中式控制器的边缘计算协同云资源调度机制。通过两阶段Stackelberg博弈,确定部署阶段分配给每个云的物理资源数量,以及合作的云在运行阶段共享资源的价格。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Stackelberg Game Model for Dynamic Resource Scheduling in Edge Computing with Cooperative Cloudlets
Aiming to minimize the operators' cost while preserving user experience, we propose a resource scheduling mechanism for cooperative cloudlets in edge computing with a centralized controller. The interactions between cloudlets and the controller are formulated as a two-stage Stackelberg game to determine the amount of physical resources assigned to each cloudlet during deployment phase and the price of resources shared among cooperated cloudlets during operation phase.
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