With the proliferation of portable devices, the exponential growth of the global mobile traffic brings great challenges to the traditional communication networks and the traditional wireless communication technologies. In this context, converged networks and cache-based data offloading have drawn more and more attention based on the strong correlation of services. This paper proposes a novel popular services pushing and caching scheme by using converged overlay networks. The most popular services are pushed by terrestrial broadcasting networks. And they are cached in ${n}$ router-nodes with limited cache sizes. Each router-node only interconnects with its neighbor nodes. Users are served through the router’s WiFi link. If the services requested are cached in the routers, the user can be immediately responded; otherwise, the requests can be responded through the link from cellular stations to the router. In the proposed scheme, the cache size of the router, the maximum number of requests each router can serve, and the whole-time delay are limited. Three node-selecting and dynamic programming algorithms are adopted to maximize the equivalent throughput. Analytical and numerical results demonstrate that the proposed scheme is very effective.

中文翻译：

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融合覆盖网络中流行服务分发的分布式缓存机制

随着便携式设备的激增，全球移动流量的指数级增长给传统通信网络和传统无线通信技术带来了巨大挑战。在此背景下，基于业务的强关联性，融合网络和基于缓存的数据分流越来越受到关注。本文提出了一种使用融合覆盖网络的新型流行服务推送和缓存方案。最受欢迎的服务是由地面广播网络推送的。并且它们缓存在具有有限缓存大小的 ${n}$ 路由器节点中。每个路由器节点仅与其相邻节点互连。通过路由器的 WiFi 链接为用户提供服务。如果请求的服务缓存在路由器中，用户可以立即得到响应；除此以外，请求可以通过从蜂窝站到路由器的链路进行响应。在所提出的方案中，路由器的缓存大小、每个路由器可以服务的最大请求数以及整个时延都是有限的。采用三种节点选择和动态规划算法来最大化等效吞吐量。分析和数值结果表明，所提出的方案是非常有效的。