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MPCS: A mobility/popularity-based caching strategy for information-centric networks

机译:MPCS:一种用于信息中心网络的基于移动性/普及度的缓存策略

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Information-Centric Networking (ICN) has a great potential to better support the content distribution over the future Internet. Meanwhile, users with mobile devices will also access ICN, introducing a new challenge to ICN providers to handle such mobile content requests. In this paper, a mobility and popularity-based caching strategy is proposed to increase the cache hit rate through WiFi while people are moving from one WiFi hotspot to another. It thus lowers the network traffic from the local ICN to the outside Internet. Specifically, a precise derivation on the content request rate is provided based on the content popularity and user mobility. A novel caching strategy is further developed based on this derivation for both the mobility-oblivious and mobility-aware scenarios. We evaluate different caching strategies with a trace-driven simulation and our new approach can achieve a 33.84% reduction on the network traffic when compared with the caching strategies only considering the content popularity.
机译:以信息为中心的网络(ICN)具有巨大的潜力,可以更好地支持未来Internet上的内容分发。同时,具有移动设备的用户也将访问ICN,这对ICN提供商提出了新的挑战,以处理此类移动内容请求。本文提出了一种基于移动性和流行度的缓存策略,以在人们从一个WiFi热点转移到另一个WiFi热点时提高通过WiFi的缓存命中率。因此,它降低了从本地ICN到外部Internet的网络流量。具体地,基于内容流行度和用户移动性来提供对内容请求率的精确推导。基于此派生,针对移动性无关场景和移动性感知场景,进一步开发了一种新颖的缓存策略。我们通过跟踪驱动的模拟评估不同的缓存策略,与仅考虑内容受欢迎程度的缓存策略相比,我们的新方法可以将网络流量减少33.84%。

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