面向多源异构数据的云推送平台的研究与应用

在传统推送中,多源异构数据的推送面临时效性不强、安全性不高、数据难以重用等问题。针对多源异构数据的特征,综合移动互联网的安全性和隐私性等特点,提出了一种多维决策云推送模型来计算分布式环境中多源异构数据的特征值和特征向量,以快速分离数据源中的同构数据和异构数据；并基于此模型设计了云推送平台,其利用云推送技术来实现同构数据和异构数据的自动分离和高效推送。根据云推送平台在实验环境中的运行情况及相关指标分析,说明该平台适用于多源异构数据的推送,是一种高效可行的推送方式。

Research and Application of Cloud Push Platform Based on Multi-source and Heterogeneous Data

In the traditional push,the push of multi-source heterogeneous data is weak on timeliness,low security and difficult to reuse.According to the characteristics of heterogeneous data,characteristics of mobile Internet security and privacy,a multi dimensional decision cloud push model was proposed,to compute the eigenvalues and eigenvectors of multi-source and heterogeneous data in distributed environment,for the rapid separation of data source in homogeneous data and heterogeneous data.And based on this model,the cloud push platform was designed,and the automatic separation and high efficiency push of homogeneous data and heterogeneous data was realized by using cloud push technology.According to the running situation and related index analysis of the cloud platform in the experimental environment,the platform can be applied to the multi source and heterogeneous data.