QLB:软件定义网络的QoS路由算法

Piyawit Tantisarkhornkhet, Warodom Werapun
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引用次数: 5

摘要

软件定义网络(SDN)是一种新的高效的可编程网络思想,它将所有网络设备的控制平面和数据平面分离开来。互联网服务提供商负责所有的控制决策和来自中央控制器的转发元素之间的通信。SDN提供各种优化业务。QoS (Quality of service)路由是一种适用于不同应用产生的不同流量的路径计算方法,同时也提高了网络资源的利用率。这种服务协议是由诸如吞吐量、延迟、抖动和包丢失等QoS需求定义的。多媒体应用往往需要在多重QoS约束下得到保证,这就造成了过渡网络中不能在多项式时间内简单解决的np完全问题和较高的管理复杂性。SDN能够降低复杂性并有效实现流量,因此SDN对开发QoS路由具有重要价值。本文提出了一种用于SDN的QoS路由算法,称为QLB (Quantized Level Balance),该算法考虑了与网络应用相关的一个或多个QoS参数。为了满足需求,QLB根据相应的应用服务质量级别选择QoS参数。我们用可扩展视频流评估框架(SVEF)在模拟拓扑上复制了我们的算法。我们在接收端测量了可扩展视频编码(SVC)的峰值信噪比(PSNR)和平均意见分数(MOS)。我们提出的算法比单度量方法可能选择较差的QoS参数路径有所改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
QLB: QoS routing algorithm for Software-Defined Networking
Software-Defined Networking (SDN) is a new efficiently idea of programmable networks that separates the control plane from data plane of all network devices. Internet service provider is responsible for all the control decisions and communication among the forwarding elements from centralized controller. SDN provides the various optimized services. Quality of service (QoS) routing is a path computation method that is suitable for the different traffics generated by several applications, while utilization of network resources has increased. This agreement of service is defined by QoS requirements such as throughput, delay, jitter and packet loss etc. Multimedia applications often require assured from multi QoS constrained, causing the NP-complete problem which cannot be simply solved in polynomial time and high management complexity in the transition network. SDN is able to reduce complexity and it is used to efficiently implement traffic, hence SDN significantly values to development QoS routing. In this paper, we propose QoS routing algorithm called Quantized Level Balance (QLB) for SDN that considers one or many QoS parameters relating to the network application. To satisfy the requirements, QLB selects QoS parameters depending to the level of appropriate application service quality. We have replicated our algorithm on simulate topology with Scalable Video-streaming Evaluation Framework (SVEF). We measure the Peak Signal-to-Noise Ratio (PSNR) and Mean Opinion Score (MOS) of Scalable Video Coding (SVC) at the receiver. Our propose algorithm is improved than single-metric approach that may choose poor QoS parameter paths.
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