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A Caching Miss Ratio Aware Path Selection Algorithm for Information-Centric Networks

机译:信息中心网络的一种缓存丢失率感知路径选择算法

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In Information-Centric Networks (ICN), contents are cached on some intermediary routers. This creates thus a new situation which is totally different from the traditional path-selection paradigm: the source/destination paradigm no longer exists; instead, the new paradigm is how to find a path through a selected group of caches, so that the content is delivered via the shortest way. This paper addresses this issue and proposes a path-selection algorithm taking into account both the caching capability of router and the more traditional link cost between routers. We formulated the problem as a convex optimization problem (named ESP) which aims to get expected shortest path (ESP) by minimizing the transportation cost. By applying the Lagrangian dual theorem, we solved the ESP problem and obtained a criterion for request (and reversely, data) routing. Based on this path-selection criterion, we provide a fully distributed distance-based ESP algorithm that enables routers maintain routes to nearest content, without knowing a network topology and the caching miss ratio of content at other routers. Simulations confirm the efficiency of our approach versus the traditional shortest path algorithm.
机译:在以信息为中心的网络(ICN)中,内容被缓存在某些中间路由器上。因此,这就产生了一种与传统的路径选择范式完全不同的新情况:源/目的地范式不再存在;源/目的地范式不再存在。取而代之的是,新的范例是如何通过选定的一组缓存查找路径,以便以最短的方式传递内容。本文解决了这个问题,并提出了一种路径选择算法,该算法同时考虑了路由器的缓存能力和路由器之间更传统的链路成本。我们将此问题表述为凸优化问题(称为ESP),旨在通过最小化运输成本来获得预期的最短路径(ESP)。通过应用拉格朗日对偶定理,我们解决了ESP问题,并获得了用于请求(以及相反,数据)路由的标准。基于此路径选择标准,我们提供了一种基于距离的完全分布式ESP算法,该算法使路由器能够维护到最近内容的路由,而无需了解网络拓扑和其他路由器上内容的缓存未命中率。仿真证实了我们的方法相对于传统的最短路径算法的效率。

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