论文标题
移动互联网生态系统中的货币化边缘服务
Monetizing Edge Service in Mobile Internet Ecosystem
论文作者
论文摘要
在移动互联网生态系统中，移动用户（MUS）从Internet服务提供商（ISP）购买无线数据服务，以访问Internet并从内容提供商（CP）中获取感兴趣的内容服务（例如，在线游戏）。智能功能的普及（例如，AI和3D建模）增加了内容服务的计算强度，从而导致了MUS资源有限设备的计算压力不断增长。为此，Edge Computing Service正在成为一种有希望的方法，可以通过将MUS的一些计算任务卸载到Edge（计算）服务器（计算）服务器部署在本地网络边缘的边缘（计算）服务器。因此，部署边缘服务器并提供边缘计算服务的Edge Service提供商（ESP）成为生态系统中即将到来的新利益相关者。在这项工作中，我们研究了新生态系统中MUS，ISP，CP和ESP的经济相互作用与Edge Computing Service，MUS可以在其中获取计算密集型内容服务（由CP提供），并通过ISP通过ISP来卸载某些计算任务以及必要的原始输入数据（ESP由ESP部署）。我们首先研究了MU的联合内容获取和任务卸载（J-CATO）问题，该问题旨在最大化他的长期回报。我们通过关键见解得出离线解决方案，基于我们设计具有可证明性能的在线策略。然后，我们研究ESP的边缘服务货币化问题。我们提出了一项定价政策，该政策可以达到前柱最佳收入的恒定部分，而ESP则持续不断损失。数值结果表明，边缘计算服务可以刺激MUS的内容获取并提高MUS，ISP和CP的收益。
In mobile Internet ecosystem, Mobile Users (MUs) purchase wireless data services from Internet Service Provider (ISP) to access to Internet and acquire the interested content services (e.g., online game) from Content Provider (CP). The popularity of intelligent functions (e.g., AI and 3D modeling) increases the computation-intensity of the content services, leading to a growing computation pressure for the MUs' resource-limited devices. To this end, edge computing service is emerging as a promising approach to alleviate the MUs' computation pressure while keeping their quality-of-service, via offloading some computation tasks of MUs to edge (computing) servers deployed at the local network edge. Thus, Edge Service Provider (ESP), who deploys the edge servers and offers the edge computing service, becomes an upcoming new stakeholder in the ecosystem. In this work, we study the economic interactions of MUs, ISP, CP, and ESP in the new ecosystem with edge computing service, where MUs can acquire the computation-intensive content services (offered by CP) and offload some computation tasks, together with the necessary raw input data, to edge servers (deployed by ESP) through ISP. We first study the MU's Joint Content Acquisition and Task Offloading (J-CATO) problem, which aims to maximize his long-term payoff. We derive the off-line solution with crucial insights, based on which we design an online strategy with provable performance. Then, we study the ESP's edge service monetization problem. We propose a pricing policy that can achieve a constant fraction of the ex-post optimal revenue with an extra constant loss for the ESP. Numerical results show that the edge computing service can stimulate the MUs' content acquisition and improve the payoffs of MUs, ISP, and CP.
