网络教学资源优化分配仿真研究

发布时间：2018-04-15 14:52

本文选题：网络化虚拟 + 实验资源　；参考：《计算机仿真》2017年02期

【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。
[Abstract]:Rational allocation of teaching resources of the network, can improve the efficiency of management of the teaching resources of the network. The network teaching resources allocation, larger delay, resulting in cyber source distribution channel occupancy time is too long, and the traditional method of network experiment resource allocation is through different channels for the specified resource task, complete resource allocation, when cyber source distribution channel occupancy time, reduces the allocation efficiency. This paper proposes a multi rate cognitive network teaching resource allocation method based on the above method. There is a network of resources from the main users and a secondary user perspective on resource allocation of resources on the formation of delay model, obtain the resource allocation delay in different modes, and the transmission rate dynamically adjust the allocation of resources on the block, the network teaching resource allocation problem is modeled as a nonlinear optimization problem, given optimization problem The constraint conditions are merged into greedy algorithm to solve the problem, and the allocation of teaching resources is completed. Simulation results show that the proposed algorithm greatly improves the efficiency and effectiveness of resource allocation in teaching network.

【作者单位】：广州工商学院;
【基金】：浙江省“十二五”省级重点实验教学示范中心重点建设项目(浙教办高教[2014]41号) 浙江省教育技术研究规划课题(JB033)
【分类号】：G434

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