一种改进的异构网络业务流识别和映射方法  

An Improved Traffic Flow Identification and Mapping Method over Heterogeneous Networks

作　　者：王再见[1] 李志鹏 WANG Zaijian;LI Zhipeng(College of Physics and Electronic Information,Anhui Normal University,Wuhu 241000,China)

机构地区：[1]安徽师范大学物理与电子信息学院,安徽芜湖241000

出　　处：《无线电通信技术》2019年第2期138-143,共6页Radio Communications Technology

基　　金：安徽省高校领军人才引进与培育计划(gxfx ZD2016013);安徽师范大学博士科研启动金项目(2016XJJ129);安徽省自然科学基金(1608085QF138);安徽省高等学校省级自然科学研究项目(KJ2015A105;KJ2018A0311)

摘　　要：为了提高异构网络中多媒体业务服务质量(Quality of Service,QoS)保证能力,提出一种异构网络多媒体业务流识别和映射方法 (QoS Mapping and Identification Method Based on Traffic Flow,QMIM-TF)。考虑了未明确标注QoS类别的多媒体业务的映射问题;通过感知网络环境,灵活调整QoS类映射结果,提高网络端到端系统效能,提供有效的异构网络端到端QoS保证;基于现行网络设备获取QoS属性,进行业务区分,使方案具有较好的通用性和可实现性;将在线与离线识别相结合,兼顾网络实时性和准确性要求。通过仿真验证了方案的有效性。In order to improve Quality of Service(QoS)guarantee of multimedia traffics in heterogeneous networks,this paper proposes a multimedia traffics identification and mapping scheme in heterogeneous networks(QMIM-TF:QoS Mapping and Identification Method based on Traffic Flow).This method considers the mapping issue of multimedia traffics whose QoS categories are not clearly marked in the process of QoS class mapping;it improves network end-to-end system efficiency and provides effective end-toend QoS guarantees in heterogeneous network by adjusting the result of QoS class mapping elastically with perception of network environment;it obtains better generality and realization by performing properly traffic classification,based on QoS attributes caught by popular network device;it obtains both accurate performance and real-time performance by combining with the online and offline classifications.Finally,the simulation results show that the proposed method has higher effectiveness.

关 键 词：QOS QOS映射 业务区分 多媒体业务 

分 类 号：TN919.8[电子电信—通信与信息系统]