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一种优化的互联网用户流量定向调度
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作者 王宏杰 杨波 +2 位作者 徐胜超 毛明扬 蒋金陵 《云南师范大学学报(自然科学版)》 2023年第6期39-42,共4页
利用软件定义网络架构,建立互联网用户流量分析预测—在线调度机制,通过互联网用户流量分析预测、异常流量识别以及在线调度等步骤,实现互联网用户流量定向调度;同时,利用SRv6服务链技术优化互联网用户流量的路由选择机制,从而有效避免... 利用软件定义网络架构,建立互联网用户流量分析预测—在线调度机制,通过互联网用户流量分析预测、异常流量识别以及在线调度等步骤,实现互联网用户流量定向调度;同时,利用SRv6服务链技术优化互联网用户流量的路由选择机制,从而有效避免链路中出现流量堵塞,并采用基于半监督学习的流量聚类方法进行互联网用户流量聚类,以缩短流量调度时间.实验结果表明,该方法的最大链路利用率低、吞吐率高、调度时间短,能够使调度后的网络负载更均衡,提高节点活性和调度效率. 展开更多
关键词 互联网用户流量 软件定义网络 SRv6服务链技术 流量聚类
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Modeling and Characterizing Internet Backbone Traffic 被引量:2
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作者 Yang Jie He Yang +1 位作者 Lin Ping Cheng Gang 《China Communications》 SCIE CSCD 2010年第5期49-56,共8页
With enormous growth of the number of Internet users and appearance of new applications, characterization of Internet traffic has attracted more and more attention and has become one of the major challenging issues in... With enormous growth of the number of Internet users and appearance of new applications, characterization of Internet traffic has attracted more and more attention and has become one of the major challenging issues in telecommunication network over the past few years. In this paper, we study the network traffic pattern of the aggregate traffic and of specific application traffic, especially the popular applications such as P2P, VoIP that contribute most network traffic. Our study verified that majority Internet backbone traffic is contributed by a small portion of users and a power function can be used to approximate the contribution of each user to the overall traffic. We show that P2P applications are the dominant traffic contributor in current Internet Backbone of China. In addition, we selectively present the traffic pattern of different applications in detail. 展开更多
关键词 traffic characterization MEASUREMENT traffic pattern BEHAVIOR flow statistical characteristics
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