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WAVE: Popularity-based and collaborative in-network caching for content-oriented networks

机译:WAVE:面向内容的网络的基于流行度的协作式网络内缓存

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摘要

In content-oriented networking, content files are typically cached in network nodes, and hence how to cache content files is crucial for the efficient content delivery and cache storage utilization. In this paper, we propose a content caching scheme, WAVE, in which the number of chunks to be cached is adjusted based on the popularity of the content. In WAVE, an upstream node recommends the number of chunks to be cached at its downstream node, which is exponentially increased as the request count increases. Simulation results reveal that the average hop count of content delivery of WAVE is lower than other schemes, and the inter-ISP traffic volume of WAVE is the second lowest (CDN is the lowest). Also, WAVE achieves higher cache hit ratio and fewer frequent cache replacements than other on-demand caching strategies.
机译:在面向内容的联网中,内容文件通常缓存在网络节点中,因此如何缓存内容文件对于有效的内容传递和缓存存储利用率至关重要。在本文中,我们提出了一种内容缓存方案WAVE,其中根据内容的受欢迎程度调整要缓存的块数。在WAVE中,上游节点建议在其下游节点缓存的块数,该数目随着请求计数的增加而呈指数增加。仿真结果表明,WAVE的内容传递的平均跳数比其他方案要低,并且WAVE的ISP间流量第二低(CDN最低)。而且,与其他按需缓存策略相比,WAVE可以实现更高的缓存命中率和更少的频繁缓存替换。

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