Scalable and Balanced Policy Enforcement through Hybrid SDN-Label Switching
Scalable and Balanced Policy Enforcement through Hybrid SDN-Label Switching
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DOI：
10.1109/globecom38437.2019.9014022
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发表时间：
2019-12
期刊：
影响因子：
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通讯作者：
Olufemi O. Odegbile;Shigang Chen;Youlin Zhang
中科院分区：
文献类型：
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作者：
Olufemi O. Odegbile;Shigang Chen;Youlin Zhang
软件定义网络通过一系列提供所需网络功能的中间盒来动态路由流，从而促进自动策略执行。因此，大大简化了在传统IP网络中执行繁琐且容易出错的基于中间盒的网络策略实施。然而，SDN中基于TCAM的流表很小并且能量要求很高，这限制了策略实施的可扩展性。本文提出了一种混合SDN标签交换方案，该方案将网络边缘处的基于TCAM的交换（在SDN中）与网络核心中的标签交换相结合，以提供可扩展的策略实施，而不损害每个流的管理能力。提出了一种线性优化方法来平衡中间盒之间的工作负载。我们在OMNET++上证明了我们提出的解决方案与现有技术相比，处理/通信开销要小得多，并且实现了更好的负载平衡。
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.