软件定义网络中物联网设备的先发制人流安装

P. Bull, Ron Austin, Mak Sharma
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引用次数: 17

摘要

基于物联网(IoT)的设备和软件定义网络(SDN)概念作为网络新范式的预测流行,意味着需要考虑它们将如何交互。当前SDN实现的工作原理是,在接收到无法识别的数据包时,交换机将向中央控制器查询相应的规则。当前交换设备内的内存限制决定了该规则只能在删除之前存储很短的时间,从而使得从物联网设备发送的相对不频繁的数据样本的传输间隔可能长于此超时。本文提出了一种先发制人的流量安装机制(Pre-emptive Flow Installation Mechanism, PFIM),该机制在数据包到达之前动态学习周期性网络流的传输间隔,并在交换机内安装相应的规则。概念验证实现表明,这对减少这些流所经历的延迟具有重要影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pre-emptive Flow Installation for Internet of Things Devices within Software Defined Networks
The predicted prevalence of both Internet of Things (IoT) based devices and the concept of Software Defined Networking (SDN) as a new paradigm in networking, means that consideration is required for how they will interact. Current SDN implementations operate on the principle that on receiving an unrecognised packet, a switch will query a centralised controller for a corresponding rule. Memory limitations within current switch devices dictate that this rule can only be stored for a short period of time before being removed, thus making it likely that the relatively infrequent data samples sent from IoT devices will have a transmission interval longer than this timeout. This paper proposes a Pre-emptive Flow Installation Mechanism (PFIM) that dynamically learns the transmission intervals of periodic network flows and installs the corresponding rules within a switch, prior to the arrival of a packet. A proof-of-concept implementation shows this to have a significant effect on reducing the delay experienced by these flows.
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