在以内容为中心的网络路由器中实际存储挂起的请求

Wei You, B. Mathieu, Patrick Truong, Jean-François Peltier, G. Simon
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引用次数: 14

摘要

内容中心网络(Content-Centric Networking, CCN)是一种新颖的网络范式,旨在从传统的主机到主机网络模型转变为客户端到内容网络模型。这种转变带来了许多好处,但也给实现CCN节点的硬件技术带来了巨大挑战。例如,Pending Interest Table是CCN节点中的一个关键组件,它涉及到每个CCN消息转发过程,并且每次有数据包进来时都需要更新。该表的实现需要一个内存,该内存在短访问时间内速度快,并且足够大,可以存储待处理的Interests。不幸的是,今天的内存技术不能满足当前基于哈希的体系结构的这些要求。在强调了这一限制之后,我们提出了一个基于Bloom过滤器结构的分布式PIT架构。评估验证了我们的解决方案可以减小PIT表大小并支持更高的数据包到达率。我们的解决方案允许在当今的快速存储器(如SRAM)上实现此组件。因此,该方案可以提高CCN网络的内容提取性能,提高CCN网络的内容传输质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Realistic storage of pending requests in Content-Centric Network routers
Content-Centric Networking (CCN) is a novel network paradigm, which aims at moving from the traditional host-to-host network model to a client-to-content one. This shift brings many benefits but also leads a big challenge on the hardware technologies for implementing CCN nodes. For example the Pending Interest Table, one critical component in a CCN node, is involved in every CCN message forwarding process, and needs to be updated every time a packet comes in. The implementation of this table requires a memory that is fast for short access time and also large enough for storing the pending Interests. Unfortunately today's memory technologies cannot meet these requirements with the current hash-based architecture. After highlighting this limitation, we present a distributed PIT architecture which is based on the Bloom filter structure. The evaluations validate that our solution can reduce the PIT table size and support higher packet arrival rate. Our solution allows to implement this component on today's fast memory like SRAM. Therefore this proposal can improve the content fetching performance and improve the quality of content delivered in CCN network.
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