电力通信网络业务质量特征的数据流智能调度
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国网河北省电力有限公司邢台供电分公司

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TM744

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Intelligent data flow scheduling for service quality characteristics of power communication networks ?
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    摘要:

    在通信网络发生拥塞的情况下,为保证电力通信网络中业务稳定运行,针对目前电力通信网络QoS配置不完善等问题,本文设计并实现了一种基于电力通信网络业务质量特征的数据流调度策略。首先对电力通信业务进行优先级划分,并进行流分类。根据分好类别的电力通信业务流配置相应的流行为,并进行流分类到流行为的绑定,形成基于电力通信业务的流策略。实现在拥塞发生时,电力通信网络安全稳定运行。最后利用模拟网络进行实验,实验结果表明,配置QoS的网络其电力业务的丢包率和时延均控制在合适的范围,验证了基于电力业务的通信网络QoS配置策略的有效性,保证拥塞情况下电力通信业务稳定运行。

    Abstract:

    In the case of congestion in communication network, in order to ensure the stable operation of services in power communication network, this paper designs and implements a data flow scheduling strategy based on the service quality characteristics of power communication network in view of the imperfect configuration of the current power communication network QoS. Firstly, the priority of power communication service is divided and the flow is classified. According to the classification of power communication traffic, the corresponding popular behavior is allocated, and the flow is categorized into popular behavior to form a flow strategy based on power communication service. Realize the safe and stable operation of power communication network when congestion occurs. Finally, the simulation network is used to carry out experiments. Experimental results show that the packet loss rate and delay of power services in the network with QoS are controlled in a suitable range, which verifies the effectiveness of the power service-based communication network QoS allocation strategy.

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田毅,段志国,闫震,于振江,王玉,查凡.电力通信网络业务质量特征的数据流智能调度计算机测量与控制[J].,2020,28(6):148-152.

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历史
  • 收稿日期:2019-10-22
  • 最后修改日期:2019-11-06
  • 录用日期:2019-11-06
  • 在线发布日期: 2020-06-17
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