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A pricing scheme for content caching in 5G mobile edge clouds

机译:5G移动边缘云中内容缓存的定价方案

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The endeavor to develop 5G technology aims to support the recent outstanding mobile data traffic growth. In this regard, mobile network providers will be able to leverage on cloud edge-caching to offer services with enhanced quality of experience on the move. By this technology, dedicated cache space of mobile networks can be provisioned to OTT content providers, e.g., over metropolitan areas covered the network of a mobile network provider. In this work we address the problem of fair pricing such caching service, with storage the actual shared resource for caching. We study a scheme in which contents are dynamically stored in the edge memory. The mobile network provider offers a price λ for storing contents on the shared cache, thus engendering competition for cache memory sharing among content providers. We model such competition among OTT content providers using the economic notion of Kelly mechanism. Hence, we have studied the Stackelberg equilibrium, i.e., the optimal price configuration for the network provider. Numerical results describe the structure of the Nash equilibrium and the optimal prices resulting from the network provider optimal strategy.
机译:开发5G技术的努力旨在支持最近出色的移动数据流量增长。在这方面,移动网络提供商将能够利用云边缘缓存来提供具有增强的移动体验质量的服务。通过该技术,可以例如在覆盖移动网络提供商的网络的城市区域上将移动网络的专用高速缓存空间提供给OTT内容提供商。在这项工作中,我们解决了缓存服务公平定价的问题,并存储了用于缓存的实际共享资源。我们研究了一种将内容动态存储在边缘存储器中的方案。移动网络提供商提供用于在共享缓存上存储内容的价格λ,从而引起内容提供商之间共享缓存的竞争。我们使用凯利机制的经济概念来模拟OTT内容提供商之间的竞争。因此,我们研究了Stackelberg均衡,即网络提供商的最佳价格配置。数值结果描述了纳什均衡的结构和网络提供商的最优策略所产生的最优价格。

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