An Adaptive and Lightweight Update Mechanism for SDN

Changhe Yu, Julong Lan, Zehua Guo*, Yuxiang Hu, Thar Baker

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

13 引用 (Scopus)

摘要

To improve the network resources utilization and the quality of service, the provision of an adaptive and customizable network service is deemed a feasible approach. In this paper, based on the quality of service (QoS)-aware traffic classification and real-time network status, an adaptive update mechanism is presented to change the traditional rigid update techniques in software-defined networking. The developed update mechanism aims at abstracting the common update mechanism into update operations and calculates the update sequence on the operation granularity. The mechanism has three work modes, and each mode has a corresponding algorithm. It can adjust the work modes adaptively based on the network condition and the flow QoS requirements to improve the performance. The experimental results demonstrate that the three work modes can achieve optimal performance in ternary content addressable memory (TCAM) overhead reduction, delay, and bandwidth consumption, respectively. For example, when the tri-fusion work mode is leveraged, it provides at least an 85% reduction of the additional TCAM overhead and improves by at least 9%, 65%, and 82% compared to other work modes and the compared algorithms.

源语言英语
文章编号8624382
页(从-至)12914-12927
页数14
期刊IEEE Access
7
DOI
出版状态已出版 - 2019
已对外发布

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