吉林大学学报(理学版)
• 计算机科学 • 上一篇 下一篇
郭其标
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GUO Qibiao
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摘要：
针对网络中媒体流量对吞吐量、 时延等指标要求较高, 而静态的流量和队列管理机制难以适应各种实际需求的问题, 提出一种自适应排队算法. 该算法利用软件定义网络(SDN)所具有的灵活网络和流量管理能力, 能灵活地为流量分配资源和优先级, 有效提高了网络资源的利用率. 仿真实验验证了所给方法的可行性.
关键词: 软件定义网络, 流量管理, 排队算法
Abstract:
Aimming at media flow in the network had higher demands for delay and throughput, but static flow and queue management mechanism was difficult to adapt to the actual needs of various problems. We proposed an adaptive queue algorithm, which used software to define network and flow management abilities. The algorithm could flexibly allocate resources and priorities for flow, and effectively improved the utilization of network resources. Simulation results verified the feasibility of the method.
Key words: software defined network, flow management, queuing algorithm
中图分类号:
郭其标. 一种SDN中实现最优化媒体流量的自适应排队算法[J]. 吉林大学学报(理学版), 2016, 54(01): 107-111.
GUO Qibiao. An Optimized Queuing Algorithm for Media Flowin Software Defined Network[J]. Journal of Jilin University Science Edition, 2016, 54(01): 107-111.
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链接本文: https://xuebao.jlu.edu.cn/lxb/CN/
https://xuebao.jlu.edu.cn/lxb/CN/Y2016/V54/I01/107
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