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REF: Enabling Rapid Experimentation of Contextual Network Traffic Management using Software Defined Networking

机译:REF:使用软件定义的网络启用上下文网络流量管理的快速实验

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摘要

Online video streaming is becoming a key consumer of future networks, generating high throughput and highly dynamic traffic from large numbers of heterogeneous user devices. This places significant pressure on the underlying networks and can lead to a deterioration in performance, efficiency and fairness. To address this issue, future networks must incorporate contextual network designs that recognise application and user-level requirements. However, designs of new network traffic management components such as resource provisioning models are often tested within simulation environments which lack subtleties in how network equipment behaves in practice. This paper contributes the design and operational guidelines for a Software Defined Networking (SDN) experimentation framework (REF), which enables rapid evaluation of contextual networking designs using real network infrastructures. Two use case studies of a Quality of Experience (QoE)-aware resource allocation model, and a network-aware dynamic ACL demonstrate the effectiveness of REF in facilitating the design and validation of SDN-assisted networking.
机译:在线视频流正在成为未来网络的主要消费者,它从大量异构用户设备中产生高吞吐量和高动态流量。这给基础网络带来巨大压力,并可能导致性能,效率和公平性下降。为了解决此问题,未来的网络必须合并能够识别应用程序和用户级别要求的上下文网络设计。但是,新的网络流量管理组件(例如资源供应模型)的设计通常在模拟环境中进行测试,而模拟环境在网络设备的行为方式上缺乏精妙之处。本文为软件定义网络(SDN)实验框架(REF)的设计和操作指南做出了贡献,该框架可使用实际网络基础结构快速评估上下文网络设计。关于质量感知体验(QoE)的资源分配模型和网络感知动态ACL的两个用例研究,证明了REF在促进SDN辅助网络的设计和验证方面的有效性。

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