通过使用主动流量优先方法提高SDN的全局服务时间:一种启发式解决方案

Manuel Jiménez-Lázaro, J. Berrocal, J. Galán-Jiménez
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引用次数: 0

摘要

TCAM(三元内容可寻址内存)是软件定义网络(SDN)节点流表中使用的一种内存。虽然这些存储器非常快,但它们的大小是有限的。这对可以安装的规则数量有影响,并且规则管理效率低下会导致网络服务质量的降低。本文提出一种主动流量优先(Active Traffic First, ATF)的启发式算法,对SDN节点流表内容进行有效管理,使网络中主动流的全局服务时间(Global Service Time, GST)最大化。ATF背后的思想是通过删除未被使用的流来实现的,以防新流的目标是服务,并且没有可用的空间。实验结果表明,通过提高GST和减少重新安装,ATF优于其他最先进的解决方案。
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Improving the Global Service Time in SDN Through the Use of the Active Traffic First Approach: A Heuristic Solution
A TCAM (Ternary Content-Addressable Memory) is a type of memory used in the flow tables of Software Defined Networking (SDN) nodes. Although these memories are very fast, their size is limited. This has an impact on the number of rules that can be installed, and an inefficient rule management can lead to a degradation of the network quality of service. In this work, an heuristic algorithm named Active Traffic First (ATF) is proposed to efficiently manage the content of the flow tables of the SDN nodes in order to maximize the Global Service Time (GST) of the active flows in the network. The idea behind ATF is adopted by deleting flows that are not being used in case a new flow aims to be served and there is no space available. Experimental results show that ATF outperforms other state-of-the-art solutions by improving GST and reducing re-installations.
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