Modeling Control Traffic in Software-Defined Networks

被引:2
作者
Chen, Jesse [1 ]
Gopal, Ananya [1 ]
Dezfouli, Behnam [1 ]
机构
[1] Santa Clara Univ, Internet Things Res Lab, Dept Comp Sci & Engn, Santa Clara, CA 95053 USA
来源
PROCEEDINGS OF THE 2021 IEEE 7TH INTERNATIONAL CONFERENCE ON NETWORK SOFTWARIZATION (NETSOFT 2021): ACCELERATING NETWORK SOFTWARIZATION IN THE COGNITIVE AGE | 2021年
关键词
Edge; Fog; Cloud; Control Traffic; Resource Allocation; Determinism; OpenFlow; OVSDB; MANAGEMENT;
D O I
10.1109/NetSoft51509.2021.9492632
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The southbound control protocols used in Software Defined Networks ( SDNs) allow for centralized control and management of the data plane. However, these protocols introduce additional traffic a nd d elay b etween n etwork c ontrollers and switches. Despite the well understood capabilities of SDNs, current representations of control traffic overhead consist of approximations at best. In addition to high reactivity to incoming flows, the need for resource allocation and deterministic messaging delay necessitates a thorough understanding and modeling of the amount of control traffic and its effect on latency. In this work, we capture the network overhead of various switch configurations on a testbed and extract mathematical models to predict expected overhead for arbitrary switch configurations. We demonstrate that controller-switch traffic patterns are non-negligible and can be accurately modelled to compute the bandwidth utilization and latency of controller-switch communication.
引用
收藏
页码:258 / 262
页数:5
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