命名数据组网的NWRR (Name Weighted Round Robin)算法

Yiming Jiang, Jiangtao Luo
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引用次数: 0

摘要

命名数据网络(NDN)是一种新兴的通信模式,旨在解决由于大量多媒体内容的重复传输而导致的流量爆炸问题。然而,为了使NDN更广泛地发挥作用,它应该支持各种类型的流量及其服务质量(QoS)需求。本文提出了一种基于差分模型的NDN队列调度算法——名称加权轮询(NWRR)。该算法对兴趣包和数据包进行组合调度,并根据不同队列的平均数据包长度修改每个队列的权重。仿真结果表明,NWRR可以为不同优先级的应用提供不同级别的服务,并且可以解决由于每个队列平均数据包长度不同而导致的公平性不足的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Name Weighted Round Robin (NWRR) Algorithm for Named Data Networking
Named Data Networking (NDN) is an emerging communication paradigm to resolve a traffic explosion problem due to repeated and duplicated delivery of large multimedia content. To make NDN being useful more widely, however, it should support various types of traffic and their Quality of Service (QoS) requirements. In this paper, we propose a queue scheduling algorithm named Name Weighted Round Robin (NWRR) that can work on top of the diffserv model in NDN. The proposed algorithm performs combined scheduling of Interest packets and Data packets and modifies the weight of each queue according to the average packet length of different queues. Results in ndnSIM simulator demonstrate that NWRR can provide different levels of service for different priority applications as well as can cope with the issue of lack of fairness caused by different average packet length in each queue.
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