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Distributed algorithms for content placement in hierarchical cache networks

机译:用于分层缓存网络中内容放置的分布式算法

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The growing popularity of mobile multimedia content and the increase of wireless access bitrates are straining backhaul capacity in mobile networks. A cost-effective solution to reduce the strain, enabled by emerging all-IP 4G and 5G mobile backhaul architectures, could be in-network caching of popular content during times of peak demand. Motivated by the potential benefits of caching in mobile backhaul networks, in this paper we formulate the problem of content placement in a hierarchical cache network as a binary integer programming problem. We provide a polynomial time solution when the link costs are induced by a potential and we propose a 2-approximation algorithm for the general case. The 2-approximation requires full information about the network topology and the link costs, as well as about the content demands at the different caches, we thus propose two distributed algorithms that are based on limited information on the content demands. We show that the distributed algorithms terminate in a finite number of steps, and we provide analytical results on their approximation ratios. We use simulations to evaluate the proposed algorithms in terms of the achieved approximation ratio and computational complexity on hierarchical cache network topologies as a model of mobile backhaul networks. (C) 2017 Elsevier B.V. All rights reserved.
机译:移动多媒体内容的日益普及和无线访问比特率的增加正在使移动网络的回传容量紧张。通过新兴的全IP 4G和5G移动回程架构实现的,降低负担的经济有效的解决方案可以是在需求高峰时对流行内容进行网络内缓存。受移动回程网络中缓存的潜在好处的激励,本文中,我们将内容在分层缓存网络中的放置问题公式化为二进制整数编程问题。当链接成本由势引起时,我们提供了多项式时间解,并且针对一般情况提出了一种2近似算法。 2近似需要有关网络拓扑和链路成本以及不同缓存中的内容需求的完整信息,因此我们提出了两种基于内容需求的有限信息的分布式算法。我们证明了分布式算法以有限的步长终止,并且我们提供了它们的近似比率的分析结果。我们使用模拟来评估所提出的算法,这是在作为移动回传网络模型的分层缓存网络拓扑上实现的近似率和计算复杂性的方面。 (C)2017 Elsevier B.V.保留所有权利。

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