Scalable mobile backhauling via information-centric networking
Scalable mobile backhauling via information-centric networking
复制标题
通过以信息为中心的网络实现可扩展的移动回程
DOI：
10.1109/lanman.2015.7114719
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
Diego Perino
中科院分区：
文献类型：
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作者：
G. Carofiglio;Massimo Gallo;L. Muscariello;Diego Perino
移动的设备的普及和高速网络接入推动了业务的快速增长，这就要求在网络层进行实质性的创新。以内容为中心的互联网使用的性质突出了以主机为中心的模型在应对动态内容到位置绑定，移动性，多播，多宿主等的局限性，如果在回程传输容量加速可能隐藏在短期内效率低下，以主机为中心的通信模式需要重新审视，以维持未来的移动的需求。在本文中，我们首先确定和量化的机会，回程演进通过分析收集的移动的核心和回程的橙子法国之间的一个大的流量测量。分析显示，50%的HTTP请求是可缓存的，通过使用350 GB到1 TB的内存，在高峰时段可以将流量从60%减少到95%。受这种减少延迟和节省网络成本的重大机会的激励，我们提出了一个基于信息中心网络（ICN）的解决方案。在现实的网络环境中，使用100台Linux服务器和定制软件进行的大规模实验的第一个结果提供了对ICN收益的一瞥，即使在天真的缓存下：与现有的替代方案相比，交付时间减少了三分之一，带宽节省了近40%。
The rapid traffic growth fueled by mobile devices spread and high speed network access calls for substantial innovation at network layer. The content-centric nature of Internet usage highlights the limitations of the host-centric model in coping with dynamic content-to-location binding, mobility, multicast, multi-homing, etc. If transmission capacity speedups in the backhaul may hide inefficiencies in the short term, the hostcentric communication model needs to be revisited to sustain future mobile demand. In this paper, we first identify and quantify the opportunities for backhaul evolution by analyzing a large set of traffic measurements collected between mobile core and backhaul of Orange France. The analysis reveals that 50% of HTTP requests are cacheable and traffic can be reduced from 60% to 95% during the peak hour by using 350GBs to 1TB of memory overall. Motivated by such significant opportunities for latency reduction and network cost savings, we present a solution based on Information-Centric Networking (ICN). First results of a large scale experimentation with 100 Linux servers and customized software, in a realistic network setting, provide a glimpse into ICN gains even under naive caching: a factor three reduction in delivery time and almost 40% bandwidth savings, when compared to existing alternatives.