期刊文献+

基于蚁群算法的Qos技术在网络教学中的应用分析

Application Analysis of Qos Technology in Network Teaching based on Ant Colony Algorithm
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摘要 随着Internet技术的发展,网络化教学也逐渐进入我们的视野。依托网络化教学平台,具有实时、同步、异地、交互的特点也越来越受到大家的欢迎。针对在教学过程中出现的问题,利用蚁群算法的Qos(Quality of Service)技术解决在视频播放、视频下载、交互沟通等过程中出现的延时、延时抖动、丢包率问题,寻求各个节点之间的合理优化的路径,满足客户要求,提高服务质量。通过计算机仿真解决TSP(Travelling Salesman Problem)问题,在大量实验结果中,分析找到满足约束条件下,从路由源节点到目标节点之间的最优路径。 With the development of Internet technology, network teaching has gradually come into our vision. relying on the networkteaching platform, has the characteristics of real-time, synchronization, remote, interactive, more and more popular. Aiming at theproblems in the teaching process, the Quality of Service(Qos) technology is used to solve the problems such as delay, delay-jitterand packet-loss rate in the process of video playing, video download, interactive communication and so on. Travelling SalesmanProblem(TSP) problem is solved by computer simulation. In a large number of experimental results, the optimal path is found tomeet the constraints, from which the routing source node to the target node.
出处 《电脑知识与技术》 2018年第11Z期51-53,共3页 Computer Knowledge and Technology
基金 秦皇岛市科技支撑计划项目(项目编号:201502A032)
关键词 蚁群算法 QOS 计算机仿真 网络教学 ant colony algorithm Qos computer simulation network teaching
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