earticle

영어

With the rise of cloud computing, internet of things, social networks, the type and scale of data in human society has increased at an unprecedented rate, making data from being a simple object to be process to being a basic resource. Fully mining the value of data resources that was hidden in SNS such Weibo Microblog, Wechat has become a common subject concerned by industrial circle, academic area and government departments. Although the distributed storage and analysis of cloud computing platform have been widely used in big data process of social networks, it has not been able to fully solve the problems of big data storage and process in social networks. In this paper, it proposed the big data process framework of social networks based on cloud computing. By adopting the mixing cloud model and coordinating the data storage framework and data computing framework, and regarding social networks features such as real-time, sharing, mobility, individuation, and interactivity, this big data process framework can be adopted to process large-scale massive amount of data, to research the unified management and sharing strategy of massive data, to propose data process strategy and the service application of big data such as Microblog and Wechat, and to discuss several urgent key problems in processing social networks big data.