A Rate Allocation Framework for Multi-Class Services in Software-Defined Networks

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• 作者：Minh-Thuyen Thi ; Thong Huynh ; Mikio Hasegawa…
• 关键词：OpenFlow ; Inelastic flow ; Network utility maximization
• 刊名：Journal of Network and Systems Management
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：25
• 期：1
• 页码：1-20
• 全文大小：
• 刊物类别：Computer Science
• 刊物主题：Computer Communication Networks; Computer Systems Organization and Communication Networks; Communications Engineering, Networks; Information Systems and Communication Service; Operation Research/Decis
• 出版者：Springer US
• ISSN：1573-7705
• 卷排序：25

文摘

Software defined networking (SDN) is a network architecture with a programmable control plane (e.g., controllers) and simple data plane (e.g., forwarders). One of the popular SDN protocols/standards is OpenFlow, for which researchers have recently proposed some quality-of-service (QoS) supports. However, the proposals for rate allocation have some limitations in network scalability and multi-class services’ supports. In the literature, rate allocation formulations are commonly based on the framework of network utility maximization (NUM). Nevertheless, multi-class services are rarely considered in that framework since they make the formulated NUM become nonconvex and prevent its subgradient-based algorithm from converging. In this paper, we propose a scalable QoS rate allocation framework for OpenFlow in which multi-class services are considered. The convergence issue in the algorithm of our NUM-based framework is resolved by an admission control scheme. The network scalability is improved by our decentralized algorithms that can run on multiple parallel controllers. Extensive simulation and emulation results are provided to evaluate the performance of our method.