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Link Congestion and Lifetime Based In-Network Caching Scheme in Information Centric Networking

机译:基于信息中心网络的链路拥塞和寿命基于网络的网络高速缓存方案

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Ubiquitous in-network caching is one of the important aspects of the Information-Centric Networking (ICN), which has been a hot topic of ICN research. Many works have tried to propose better caching schemes to solve the drawbacks of the default en-route scheme, but most of them are insufficient to improve performance of entire network for just considering single layer optimization factor. Also considering that the network exists to serve its users, user-centric performance metrics, in particular the download delay, are equally important as the common metrics such as cache hit rate in performance evaluation. And approaches designed with congestion-sensitive download delay in mind can obtain better performance and user experience. In this paper, we propose and evaluate a novel Link Congestion and lifetime Based In-Networking Caching Schemes (LCLCS), which takes fully account of link congestion, Betweenness centrality and content popularity, aiming to observably optimize network delay and maintain acceptable cache rate. Through simulation, we can prove that network latency and hop reduction rate of our policy are significantly better than existing policies at least 51.5%, while the cache hit ratio is relatively improved by at least 19.1% under network congestion.
机译:无处不在的网络化缓存是信息以信息为中心的网络(ICN)的重要方面之一,这是ICN研究的热门话题。许多作品已经尝试提出更好的缓存方案来解决默认的违约计划方案的缺点,但大多数都不足以提高整个网络的性能,以考虑单层优化因子。另外考虑到网络存在,以满足其用户,以用户为中心的性能度量,特别是下载延迟,与诸如性能评估中的缓存命中率等常见度量同样重要。和拥塞敏感敏感下载延迟设计的方法可以获得更好的性能和用户体验。在本文中,我们提出并评估了基于网络中的新的链接拥塞和终身的网络缓存方案(LCLC),它完全考虑了链路拥塞,度量和内容人气之间,旨在遵守网络延迟并保持可接受的高速缓存速率。通过模拟,我们可以证明我们政策的网络延迟和跳减速明显优于现有的策略至少51.5%,而在网络拥塞下,高速缓存命中比率至少为19.1%。

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