Cloud Computing Management System Of Teachers(big Data And High Concurrency System Of Teachers)

Since 2009, the use of big data platform that hosts a variety of cloud services has become the trend of large-scale development of information industry, the Internet has also emerged a large number of cloud-based platform management system business, and the popularity of a large number of network names. For traditional teacher file system, in order to successfully transition to the cloud application or have a certain degree of difficulty, because it first needs a unified information platform, followed by the platform must also have a high computing and storage capacity, with high concurrency access and fast query analysis functions. This means that large data computing platform through the use of the cloud, the teacher records management system can successfully transition to the cloud applications. However, the inherent characteristics of teachers’ records management systems business application needs in the design of cloud computing platform for targeted considering its features. Based on this background, the teacher records management system for the study, a detailed analysis of the cloud computing platform applications in large data file management system of teachers, research and innovation of this paper can be divided into four areas:.Firstly, each of the various existing regional management system business school teachers conducted a survey and study, summarizes the characteristics of the current teachers’ records management systems and information technology cloud computing platform, analyzes the problems existing business platform that hosts these services when faced and shortcomings.Secondly, for the existing business platform file hosting service teachers the problems, this paper presents a non-center topology, designed for different regions IDC or CDN nodes and services integrated management module, based RPC protocol software architecture, LVS DR cluster balancing proxy server and Nginx Web static pages, Tomcat dynamic page separation, based on the efficient caching Memcached and Redis cluster cluster queue services.Thirdly, we propose a MySQL database cluster which is aimed at the teachers’ file system of cloud platform. In this way, the consistency and stability of the database can be kept well.Finally, HBase’s rowkey is mapped into a string column, the string value columns can be used to construct a query Hive and Storm and other conditions. Once the HBase and Hive mapping table, Impala would support doing joins HBase and non-HBase tables. In other words, you can do a query between data on different storage architectures.