基于移动边缘计算的超密集异构网络数据存储

Ultra-Dense Heterogeneous Network Data Storage Based on Mobile Edge Computing

针对目前超密集异构网络数据存储方法存储速率过慢,导致存储量较小,难以满足人们的要求,提出了基于移动边缘计算的超密集异构网络数据存储方法。构建基于移动边缘的网络结构模式,采用网络结构层次分析法,对超密集异构网络建立相应的选择层次模型,并根据网络数据收集和处理将其分类为数据收集网络和数据处理网络,最后,利用移动边缘计算技术,将写入的网络数据下沉到网络边缘,实现超密集异构网络数据的持久存储。实验结果表明,基于移动边缘计算的超密集异构网络数据存储方法能有效提高存储速率,扩大存储量。

At present, the storage rate of the super dense heterogeneous network data storage method is too slow, resulting in a small amount of storage, which is difficult to meet the requirements of people. Therefore, a data storage method based on mobile edge computing is proposed. We construct a network structure mode based on mobile edge, establishe a corresponding selection hierarchy model for the ultra dense heterogeneous network by using the analytic hierarchy process of network structure, and classify the ultra dense heterogeneous network data according to the two aspects of network data collection and processing, including data collection network and data processing network. By using the mobile edge computing technology, the network data written will sink to the edge of the network to realize the persistent storage of ultra dense heterogeneous network data. The experimental results show that the super dense heterogeneous network data storage method based on mobile edge computing can effectively improve the storage rate and expand the storage capacity.