Bandwidth and Congestion Aware Routing for Wide-Area Hybrid Networks
Bandwidth and Congestion Aware Routing for Wide-Area Hybrid Networks
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DOI：
10.1109/lanman54755.2022.9819986
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发表时间：
2022-07
期刊：
影响因子：
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通讯作者：
O. A. Hamdan;S. Strachan;Engin Arslan
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文献类型：
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作者：
O. A. Hamdan;S. Strachan;Engin Arslan
越来越多的科学项目依靠传感器从偏远地区收集数据。例如，一个野火探测项目在各个高风险地区部署摄像机，以尽快识别野火。这些项目通常依赖于由无线和有线链路组合组成的混合网络，以将数据从传感器传输到数据中心。这种混合网络的管理是一项繁重的任务，因为链路容量和流量的流量是动态的和不可预测的。在本文中，我们介绍了一个带宽和拥塞感知路由（BACAR）的混合网络使用软件定义网络。我们使用主动延迟测量来识别拥塞的链路，并更新其容量来测量流量速率，以检测任何链路容量下降事件。我们在Mininet中测试BACAR，并表明它提供了一个强大的解决方案来检测长距离无线链路中可能发生的带宽波动，并为速率敏感的流量找到替代路由，以提高整体网络利用率并提高流量性能。
An increasing number of science projects rely on sensors to gather data from remote areas. For example, a wildfire detection project deploys video cameras to various high-risk areas to identify wildfires as quickly as possible. These projects typically depend on hybrid networks that are composed of a combination of wireless and wired links to stream data from sensors to datacenters. The management of such hybrid networks is a burdensome task as both link capacities and traffic rates of flows are dynamic and unpredictable.In this paper, we introduce a BAndwidth- and Congestion Aware Routing (BACAR) for hybrid networks using Software Defined Networks. We use active delay measurements to identify congested links and update their capacity to measure traffic rate to detect any link capacity degradation events. We test BACAR in Mininet and show that it offers a robust solution to detect band-width fluctuations that can happen in long-distance wireless links and find alternative routes for rate-sensitive flows to improve overall network utilization and enhance flow performance.