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Research on resource allocation of vocal music teaching system based on mobile edge computing
Computer Communications ( IF 4.5 ) Pub Date : 2020-05-12 , DOI: 10.1016/j.comcom.2020.05.016
Jian Sun

How to allocate vocal teaching system resources plays an important role in improving the performance of vocal teaching systems. With the development of mobile edge computing, the calculation and storage of resource data can be adapted to the operating needs of vocal teaching systems. This study proposes a method of system resource allocation based on power iteration and sets the throughput of the unloading process as an objective function and realizes the optimal allocation of normal power by iterative optimization. At the same time, in view of the low energy efficiency and resource utilization of edge servers, a heterogeneous network based on edge servers is proposed to find the optimal strategy based on ensuring the Nash equilibrium point. In addition, in order to verify the performance of the algorithm in this paper, a comparative experiment is performed by designing simulation experiments. The results show that the method proposed in this paper has certain effects and strong practicability, which can provide theoretical references for subsequent related research.



中文翻译:

基于移动边缘计算的声乐教学系统资源分配研究

如何分配声乐教学系统资源对提高声乐教学系统的性能起着重要的作用。随着移动边缘计算的发展,资源数据的计算和存储可以适应语音教学系统的操作需求。该研究提出了一种基于功率迭代的系统资源分配方法,并将卸载过程的吞吐量设置为目标函数,并通过迭代优化实现了正常功率的最优分配。同时,鉴于边缘服务器的低能效和资源利用率,提出了一种基于边缘服务器的异构网络,以在保证纳什均衡点的基础上找到最优策略。另外,为了验证本文算法的性能,通过设计模拟实验进行比较实验。结果表明,该方法具有一定的效果,具有较强的实用性,可为后续的相关研究提供理论参考。

更新日期:2020-06-25
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