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Longest Prefix Lookup in Named Data Networking: How Fast Can It Be?

机译:命名数据网络中最长的前缀查找:速度有多快?

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Abstract-Named data networking architectures have emerged and attracted significant attention in recent years. Due to the name space being many orders of magnitude larger and more complex than IP address space, such architectures pose many significant challenges on design of routers and routing algorithms. IP forwarding algorithms are no longer applicable and cannot reach the satisfactory performance. In this paper, we ask ourselves the following question: how fast can the longest prefix name based lookup be? This is a key question to answer in order for named data networking architectures to be potentially successful. As an attempt to answer this question, we present a framework of fast longest prefix name lookup, based on a name space reduction scheme we proposed for named data networking. We also investigate feasible implementations on both CPU and GPU platforms. We demonstrate that we can achieve name lookup throughput as high as more than 37 and 70 million packets per second, respectively, on off-theshelf general-purpose CPU and GPU platforms. These results suggest that achieving high-performance lookup in named data networking architectures is not only feasible but also practical.
机译:近年来,以抽象命名的数据网络体系结构已经出现并引起了广泛的关注。由于名称空间比IP地址空间大很多个数量级,并且比IP地址空间更复杂,因此这种体系结构对路由器和路由算法的设计提出了许多重大挑战。 IP转发算法不再适用,无法达到令人满意的性能。在本文中,我们向自己提出以下问题:基于最长前缀名称的查找能达到多快?这是一个关键问题,需要回答才能使命名数据网络体系结构获得成功。为了回答这个问题,我们基于为命名数据网络提出的名称空间缩减方案,提出了一个最长最长前缀名称查找的框架。我们还将研究CPU和GPU平台上的可行实现。我们证明,在现成的通用CPU和GPU平台上,名称查询吞吐量可以分别达到每秒37和7000万个数据包以上。这些结果表明,在命名数据网络体系结构中实现高性能查找不仅可行,而且很实用。

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