Visible to the public Let Me Rephrase That: Transparent Optimization in SDNsConflict Detection Enabled

TitleLet Me Rephrase That: Transparent Optimization in SDNs
Publication TypeConference Paper
Year of Publication2017
AuthorsSanthosh Prabhu, University of Illinois at Urbana-Champaign, Mo Dong, University of Illinois at Urbana-Champaign, Tong Meng, University of Illinois at Urbana-Champaign, P. Brighten Godfrey, University of Illinois at Urbana-Champaign, Matthew Caesar, University of Illinois at Urbana-Champaign
Conference NameACM Symposium on SDN Research (SOSR 2017)
Date Published04/2017
Conference LocationSanta Clara, CA
KeywordsA Hypothesis Testing Framework for Network Security, NSA SoS Lablets Materials, Optimization, science of security, software-defined networking, UIUC

Enterprise networks today have highly diverse correctness requirements and relatively common performance objectives. As a result, preferred abstractions for enterprise networks are those which allow matching correctness specification, while transparently managing performance. Existing SDN network management architectures, however, bundle correctness and performance as a single abstraction. We argue that this creates an SDN ecosystem that is unnecessarily hard to build, maintain and evolve. We advocate a separation of the diverse correctness abstractions from generic performance optimization, to enable easier evolution of SDN controllers and platforms. We propose Oreo, a first step towards a common and relatively transparent performance optimization layer for SDN. Oreo performs the optimization by first building a model that describes every flow in the network, and then performing network-wide, multi-objective optimization based on this model without disrupting higher level correctness.

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Let Me Rephrase That Transparent Optimization in SDNs