Towards optimal cache decision for campus networks with content-centric network routers

Muhui Shen, Bing Chen, Xiaojun Zhu, Yanchao Zhao
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引用次数: 3

Abstract

A traditional approach to solving the large delay problem of campus networks is to upgrade the link connecting the gateway to the Internet. Inspired by the emerging content-centric network (CCN) and software defined network (SDN) architecture, we propose an alternative solution where the campus network uses a few CCN routers with caching ability, so that duplicate requests for the same content can be satisfied locally without traffic from the Internet. In our solution, we formulate the problem of deciding the cached content at each router to minimize the total delay of all requests. We prove that the problem is NP-hard, and no polynomial time algorithm can provide a constant approximation ratio, unless P=NP. We then propose an exponential-time exact algorithm and three polynomial-time heuristic algorithms. Numerical results show that our solution can reduce network delay significantly, compared to existing cache decision algorithms.
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基于内容中心网络路由器的校园网最优缓存决策研究
解决校园网大时延问题的传统方法是升级网关到Internet的链路。受新兴内容中心网络(CCN)和软件定义网络(SDN)架构的启发,我们提出了一种替代方案,即在校园网中使用几个具有缓存功能的CCN路由器,从而可以在本地满足对相同内容的重复请求,而无需来自Internet的流量。在我们的解决方案中,我们制定了在每个路由器上决定缓存内容以最小化所有请求的总延迟的问题。我们证明了这个问题是NP困难的,除非P=NP,否则没有多项式时间算法可以提供一个常数的近似比。然后,我们提出了一个指数时间精确算法和三个多项式时间启发式算法。数值结果表明,与现有的缓存决策算法相比,该算法能显著降低网络延迟。
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