Title
Scalable and Balanced Policy Enforcement Through Hybrid SDN-Label Switching
Abstract
Software-defined networks facilitate automatic policy 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.
Year
DOI
Venue
2019
10.1109/GLOBECOM38437.2019.9014022
IEEE Global Communications Conference
DocType
ISSN
Citations 
Conference
2334-0983
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Olufemi Odegbile162.11
Shigang Chen22568187.11
Youlin Zhang3105.26