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Scalability Analysis of Large-scale CCN Network with Network Virtualization

机译:网络虚拟化的大规模CCN网络可扩展性分析

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摘要

In this paper, we investigate the scalability of CCNx, an open-source CCN (Content-Centric Networking) implementation, in terms of the number of nodes. As performance metrics, we measure the total throughput of content delivery, the packet loss rate in the network, and the average content delivery time. We also examine the performance bottleneck of CCNx through system-wide profiling, which quantitatively shows that per-packet digest-based authentication is the performance bottleneck in CCNx. Our findings include that the communication performance was degraded when the number of CCN routers exceeds around 30, and that the Data-chunk digest computation consumes approximately 35 % of the total CPU time. We therefore investigate how the scalability of CCNx in terms of the number of nodes can be improved by hardware offloading of Data-chunk digest computation. We found that hardware offloading of Data-chunk digest computation reduces the average content delivery time by approximately 25%.
机译:在本文中,我们根据节点数研究了CCNx(一种开源CCN(内容中心网络)实现)的可伸缩性。作为性能指标,我们测量内容交付的总吞吐量,网络中的丢包率以及平均内容交付时间。我们还通过系统范围内的分析来检查CCNx的性能瓶颈,定量地表明基于每个数据包摘要的身份验证是CCNx的性能瓶颈。我们的发现包括:当CCN路由器的数量超过30左右时,通信性能会下降,并且数据块摘要计算会消耗大约总CPU时间的35%。因此,我们研究了如何通过数据分块摘要计算的硬件分载来提高CCNx在节点数方面的可伸缩性。我们发现,数据分块摘要计算的硬件分流使平均内容交付时间减少了大约25%。

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