A decision-tree-based on-line flow table compressing method in Software Defined Networks

Abstract

It is a common view in Software Defined Network (SDN) that the flow table plays the most significant role in SDN architecture, but suffers from the limited TCAM chips. The shortage of flow table storage strongly impacts the quality of service (QoS) provided by SDN, but requires rational solutions. In this paper, we present a practical on-line approach based on the decision tree structure to solve this problem. Our performance is evaluated by the comparison with other existing technologies.