Game Theory for Cooperation in Multi-Access Edge Computing

José M. F. Moura, R. Marinheiro, J. C. Silva
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引用次数: 1

Abstract

Cooperative strategies amongst network players can improve network performance and spectrum utilization in future networking environments. Game Theory is very suitable for these emerging scenarios, since it models high-complex interactions among distributed decision makers. It also finds the more convenient management policies for the diverse players (e.g., content providers, cloud providers, edge providers, brokers, network providers, or users). These management policies optimize the performance of the overall network infrastructure with a fair utilization of their resources. This chapter discusses relevant theoretical models that enable cooperation amongst the players in distinct ways through, namely, pricing or reputation. In addition, the authors highlight open problems, such as the lack of proper models for dynamic and incomplete information scenarios. These upcoming scenarios are associated to computing and storage at the network edge, as well as, the deployment of large-scale IoT systems. The chapter finalizes by discussing a business model for future networks.
多接入边缘计算合作的博弈论
网络参与者之间的合作策略可以提高未来网络环境下的网络性能和频谱利用率。博弈论非常适合这些新出现的场景,因为它模拟了分布式决策者之间高度复杂的互动。它还为不同的参与者(例如,内容提供商、云提供商、边缘提供商、代理、网络提供商或用户)找到了更方便的管理策略。这些管理策略优化了整个网络基础设施的性能,合理地利用了资源。本章讨论了相关的理论模型,这些模型使参与者之间能够以不同的方式进行合作,即通过定价或声誉。此外,作者还强调了一些开放的问题,例如缺乏动态和不完整信息场景的适当模型。这些即将到来的场景与网络边缘的计算和存储以及大规模物联网系统的部署有关。本章最后讨论了未来网络的商业模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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