On the Tradeoff between Performance and Programmability for Software Defined WiFi Networks

On the Tradeoff between Performance and Programmability for Software Defined WiFi Networks
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软件定义 WiFi 网络性能与可编程性之间的权衡

DOI:
10.1155/2018/1083575
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发表时间:
2018-04
影响因子:
--
通讯作者:
Maruf Pasha
Maruf Pasha
中科院分区:
计算机科学4区
文献类型:
--
作者:
Tausif Zahid;Xiaojun Hei;Wenqing Cheng;Adeel Ahmad;Maruf Pasha

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WiFi以其简单的技术实现和高带宽供应成为主要的网络接入网络之一。在本文中,我们将软件定义WiFi网络(SDWN)与传统WiFi网络进行对比研究,以了解在WiFi网络上采用SDWN架构的潜在好处,例如SDWN能够有效地隐藏接入点(AP)之间的切换延迟,并确定这种SDWN方法可以带来额外好处的代表性应用场景。本研究描述了性能瓶颈,例如与传统WiFi网络相比,吞吐量下降了大约。此外,我们的研究还对性能优化问题提供了一些见解。所有的性能测量都是在一个网络测试平台上进行的,该测试平台由一个基本服务集(BSS)和一个扩展服务集(ESS)组成,该扩展服务集由一个部署了各种实验室设置的SDN控制器管理。我们的评估包括TCP和UDP流量在不同节点数量和数据包大小的不同流量负载下的吞吐量性能。对比传统WiFi网络,测量漫游阶段不同ap之间的切换延迟。我们的结果证明了软件定义ap的性能和可编程性之间的权衡。
WiFi has become one of the major network access networks due to its simple technical implementation and high-bandwidth provisioning. In this paper, we studied software defined WiFi networks (SDWN) against traditional WiFi networks to understand the potential benefits, such as the ability of SDWN to effectively hide the handover delay between access points (AP) of the adoption of the SDWN architecture on WiFi networks and identify representative application scenarios where such SDWN approach could bring additional benefits. This study delineated the performance bottlenecks such as the throughput degradation by around compared with the conventional WiFi networks. In addition, our study also shed some insights into performance optimization issues. All of the performance measurements were conducted on a network testbed consisting of a single basic service set (BSS) and an extended service set (ESS) managed by a single SDN controller deployed with various laboratory settings. Our evaluation included the throughput performance under different traffic loads with different number of nodes and packet sizes for both TCP and UDP traffic flows. Handover delays were measured during the roaming phase between different APs against the traditional WiFi networks. Our results have demonstrated the tradeoff between performance and programmability of software defined APs.
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