现代电子技术2017，Vol.40Issue(7)：71-73,77,4.DOI:10.16652/j.issn.1004-373x.2017.07.019
云计算网络下的网络抗毁性估计模型仿真
Simulation of network invulnerability estimation model based on cloud computing network
摘要
Abstract
The effective operation of the cloud computing network has a crucial relationship with the network invulnerability. On the basis of the cloud computing network,the load capacity model of the cloud computing network was constructed by ana-lyzing the invulnerability indicators. According to the influence of the different density nodes and different capacities on the cloud computing network invulnerability,the network capacity density is adjusted to obtain the best invulnerability of the cloud computing network. The improved algorithm proposed in this paper is compared with the traditional neural network algorithm, fuzzy probability algorithm and GM(1,N)algorithm by means of the simulation experiment. The experimental results show that the accuracy of the algorithm to estimate the cloud computing network invulnerability can reach up to 0.96,the maximum quantity of the connection nodes is 99,the algorithm is superior to the other three algorithms in the aspects of network applicability, damage rate and damage degree,has strong practicability,and can guarantee the security of the cloud computing network data in the transmission process.关键词
抗毁性/网络容量密度/云计算/负载容量Key words
invulnerability/network capacity density/cloud computing/load capacity分类
信息技术与安全科学引用本文复制引用
杜璞..云计算网络下的网络抗毁性估计模型仿真[J].现代电子技术,2017,40(7):71-73,77,4.基金项目
国家自然科学基金青年项目:大数据背景下的特征选择算法在数据分析中的应用(F030504) （F030504）
陕西省教育厅课题:基于云计算的大数据安全的研究(SGH12532) （SGH12532）
