WOBAN中基于令牌桶算法的自适应流量整形策略
发布时间：2019-05-11 10:36
【摘要】：光无线融合网络中光域和无线域存在速率不匹配以及业务分类不同的问题。为提高融合网络的QoS及充分利用网络资源,该文提出一种基于令牌桶算法的流量整形策略。根据EPON与WiMAX业务的QoS映射以及调度策略,以业务在整个网络中的相对优先级来决定令牌桶参数的选择,并结合更符合实际的自相似网络流量推导出最佳令牌桶参数计算公式,并在此基础上,提出基于优先级的共享缓存策略,进而,得到通过QoS指标的变化而自适应动态调整的流量整形策略。仿真结果表明,所提流量整形策略能够有效降低网络设备压力,同时提高整个融合网络的QoS。
[Abstract]:In optical and wireless fusion networks, there are problems of rate mismatch and different service classification between optical domain and wireless domain. In order to improve the QoS of converged network and make full use of network resources, this paper proposes a traffic shaping strategy based on token bucket algorithm. According to the QoS mapping and scheduling strategy of EPON and WiMAX services, the choice of token bucket parameters is determined by the relative priority of service in the whole network, and the calculation formula of optimal token bucket parameters is derived based on more practical self-similar network traffic. On this basis, the shared cache strategy based on priority is proposed, and then the traffic shaping strategy which adaptively adjusts dynamically through the change of QoS index is obtained. The simulation results show that the proposed traffic shaping strategy can effectively reduce the pressure of network equipment and improve the QoS. of the whole converged network.
【作者单位】： 重庆邮电大学通信与信息工程学院;重庆高校市级光通信与网络重点实验室;
【基金】：国家自然科学基金(61371097,61401052,61271261) 重庆市教委科学技术研究项目(KJ1400418) 重庆市青年科技人才培养计划(CSTC2014KJRC-QNRC40001) 重庆市高等学校青年骨干教师资助计划(渝教人[2014]47号) 重庆高校创新团队建设计划(CXTDX201601020)~~
【分类号】：TN915.6
本文编号：2474423
[Abstract]:In optical and wireless fusion networks, there are problems of rate mismatch and different service classification between optical domain and wireless domain. In order to improve the QoS of converged network and make full use of network resources, this paper proposes a traffic shaping strategy based on token bucket algorithm. According to the QoS mapping and scheduling strategy of EPON and WiMAX services, the choice of token bucket parameters is determined by the relative priority of service in the whole network, and the calculation formula of optimal token bucket parameters is derived based on more practical self-similar network traffic. On this basis, the shared cache strategy based on priority is proposed, and then the traffic shaping strategy which adaptively adjusts dynamically through the change of QoS index is obtained. The simulation results show that the proposed traffic shaping strategy can effectively reduce the pressure of network equipment and improve the QoS. of the whole converged network.
【作者单位】： 重庆邮电大学通信与信息工程学院;重庆高校市级光通信与网络重点实验室;
【基金】：国家自然科学基金(61371097,61401052,61271261) 重庆市教委科学技术研究项目(KJ1400418) 重庆市青年科技人才培养计划(CSTC2014KJRC-QNRC40001) 重庆市高等学校青年骨干教师资助计划(渝教人[2014]47号) 重庆高校创新团队建设计划(CXTDX201601020)~~
【分类号】：TN915.6
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