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Distributed Caching via Rewarding: An Incentive Caching Model for ICN

机译:通过奖励的分布式缓存:ICN的奖励缓存模型

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Information Centric Networking (ICN) leverages built-in caching capacity, termed as in-network caching, to support fast and efficient content distribution. The profits of ICN brought by its widespread in-network caching infrastructures has been well explored, but how to incentivize network players to deploy the socially optimal number of caches was largely ignored. Network players might not want to deploy or contribute their cache resources, if they do not have clear economic incentives, as cache deployment implies an extra capital expenditure. In this paper, we focus on the economic incentive interactions in caching deployment and usage between several types of network players in ICN. In particular, a Stackerlberg game model is used to capture the interactions between content provider (CP) and Internet service providers (ISPs). By using backward induction, it is proven that an equilibrium of the proposed model exists, under which both ISPs and CP can achieve their maximum utility. Numerical results show the effectiveness of the proposed model and the findings can provide important insights for network players to design efficient content sharing and caching schemes.
机译:信息中心网络(ICN)利用称为网络内缓存的内置缓存功能来支持快速有效的内容分发。人们已经很好地探索了ICN由其广泛的网络内缓存基础结构带来的利润,但是,如何激励网络参与者部署具有社会上最佳数量的缓存,却被人们忽略了。如果网络参与者没有明显的经济诱因,他们可能不希望部署或贡献其缓存资源,因为缓存部署意味着额外的资本支出。在本文中,我们关注ICN中几种类型的网络参与者之间缓存部署和使用中的经济激励交互。特别是,使用Stackerlberg游戏模型来捕获内容提供商(CP)和Internet服务提供商(ISP)之间的交互。通过使用反向归纳,证明了所提出模型的平衡,在此平衡下,ISP和CP都可以实现其最大效用。数值结果表明了该模型的有效性,其发现可以为网络参与者设计有效的内容共享和缓存方案提供重要的见解。

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