网络教学资源优化分配仿真研究

摘要

对网络教学资源进行合理分配,可提高网络教学资源的管理效率.进行网络教学资源分配时,出现较大的时延,导致网络资源分配信道占用时间过长,而采用传统方法进行网络实验资源分配是通过为不同信道指定资源任务,完成资源分配,当网络资源分配信道占用时间过长时,降低了分配效率.提出一种基于多速率认知的网络教学资源优化分配方法.上述方法从网络中存在一对资源主用户和一对资源次级用户的角度上组建资源分配时延模型,获取不同模式下的分配资源时延,并动态调整分配资源块上的传输速率,将网络教学资源分配调度问题建模为非线性最优化问题,给出优化问题的约束条件,融合于贪婪算法对该问题进行全局最优解,完成网络教学资源分配.仿真结果表明,所提算法大幅度提升了教学网络资源分配效率和效果.%the experimental teaching of open sharing is important research topic in the academia and teaching practice,therefore,need a good network virtual experiment resources sharing mechanisms,but experiment using the algorithm of current resource sharing,network main user channel holding time is too long,exist the problem of low utilization ratio of network resources.For this,put forward a kind of networked virtual experiment based on multi-rate cognitive resource sharing method.The method from the network in the perspective of a pair of primary users and a pair of secondary users to form a resource sharing on delay model,obtain user delay of different modes,on the basis of the dynamic adjustment to a Shared resource block transmission rate,the virtual experiment resources sharing resource scheduling problem is modeled as a nonlinear optimization problem,given its constraint optimization problems,fusion in greedy algorithm to the global optimal solution of the problem,and on this basis to complete the network virtual experiment resources sharing.Simulation experiment proves that the proposed algorithm has greatly improved the teaching efficiency of network resource sharing.