用于信息中心网络的网络辅助拥塞控制

Anselme Ndikumana, Saeed Ullah, Rossi Kamal, K. Thar, H. S. Kang, S. I. Moon, C. Hong
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引用次数: 15

摘要

互联网在过去的几十年里发展得非常迅速,而且由于各种服务和应用程序的扩展和利用,它还在不断发展。因此,对延迟和吞吐量敏感的业务(如音频/视频)的需求也在增加。信息中心网络(ICN)是为满足现代用户和应用需求而提出的未来互联网的一种体系结构。在ICN中,用户发送请求(兴趣包)以获取他们需要的数据。兴趣包被指定了一个生命周期,当兴趣包的生命周期到期时,用户需要重新发送兴趣包,这极大地影响了用户的体验质量。兴趣生存期可能因为拥塞而过期,或者兴趣生存期小于网络延迟等。等待Interest生命周期到期再重新发送它只适用于尽力而为的流量,而不适用于需要高吞吐量和对延迟敏感的服务。本文提出了ICN中的网络辅助拥塞控制机制,该机制可以在拥塞发生之前检测到拥塞,并向下游节点提供通知。下游节点收到通知后,继续降低流量速率。但是,当下游节点调整发送速率失败时,继续进行相同的过程,直到发送节点通过调整拥塞窗口来降低流量速率。我们通过将其与使用ndnSIM的类似提案进行比较,对我们的提案进行了深入评估。实验结果表明,我们的方案比文献中其他方案的性能提高了59%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Network-assisted congestion control for information centric networking
Internet has grown very rapidly in the last couple of decades and still growing because of the expansion and utilization of various services and applications. Consequently, demand of delay and throughput sensitive services, like audio/video is also increasing. Information Centric Networking (ICN) is proposed as an architecture for the future Internet to meet the modern users and application requirements. In ICN users send requests (Interest Packets) for the Data they need. Interest packet is assigned a lifetime, which greatly affects the Quality of Experience (QoE) because user needs to resend the Interest, when the lifetime expires. Interest lifetime may be expired because of congestion, or Interest lifetime is shorter than the network delay, etc. Waiting for the expiration of an Interest lifetime to resend it is merely appropriate for best effort traffic, rather than services which require high throughput and are delay sensitive. In this paper, we propose Network-Assisted Congestion Control mechanism in ICN, which detects the congestion before it happens, and provides notification to downstream node. On reception of the notification, downstream node continuously reduces the traffic rate. However, when the downstream node fails to adjust the sending rate, the same procedure continues, until the sending node reduces the traffic rate through adjusting its congestion window. We have intensively evaluated our proposal by comparing it with similar proposal using ndnSIM. The experimental results show that our proposal achieves up to 59 percent performance improvement over other proposal in the literature.
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