Computer Science
Scalable and balanced policy enforcement through hybrid SDN-label switching
Document Type
Conference Paper
Abstract
Software-defined networks facilitate automatic poli- cy enforcement with dynamic routing of flows through a sequence of middleboxes that offer the required network functions. As a result, network policy enforcement based on middleboxes, which is tedious and error-prone to perform in traditional IP networks, is greatly simplified. However, TCAM-based flow tables in SDN are small and energy-demanding, which limits the scalability of policy enforcement. This paper proposes a hybrid SDN-label switching scheme that combines TCAM- based switching (in SDN) at the network edge with label switching in the network core to provide scalable policy enforcement without compromising per-flow management capability. A linear optimization is proposed to balance workloads among the middleboxes. We demonstrate on OMNET++ that our proposed solution incurs much smaller processing/communication overhead and achieves better load-balancing when comparing with the prior art.
Publication Title
Proceedings - IEEE Global Communications Conference, GLOBECOM
Publication Date
2019
ISSN
2334-0983
DOI
10.1109/GLOBECOM38437.2019.9014022
Keywords
middleboxes, switches, routing, scalability, optimization, load management
Repository Citation
Odegbile, Olufemi; Chen, Shigang; and Zhang, Youlin, "Scalable and balanced policy enforcement through hybrid SDN-label switching" (2019). Computer Science. 181.
https://commons.clarku.edu/faculty_computer_sciences/181
APA Citation
Odegbile, O., Chen, S., & Zhang, Y. (2019, December). Scalable and balanced policy enforcement through hybrid sdn-label switching. In 2019 IEEE Global Communications Conference (GLOBECOM) (pp. 1-6). IEEE.
