Abstract

In order to fulfill the requirements of mobile computing and big data environments, we design a mobile campus portal (MCP) providing mobile information services for users in both browser/ server and client/server modes. We present the topological structure of MCP, system infra- structure, application architecture and the data management (such as data integration, data format translation, data security control and so on) of our mobile campus portal in this paper. After online running in the past two years, our MCP has received good feedbacks from mobile users. In the future, we will focus on the research of data-mining technologies in our big data environment.

Highlights

  • With the development of smart mobile devices and big data technologies, mobile applications have become efficient tools for information sharing

  • This phenomenon shows that big data concept and technologies have already been integrated into the educational industry

  • If the client application is installed successfully in the smart mobile device, mobile user can access mobile service provided by mobile campus portal (MCP) and the user-interactive experience provided by smart mobile device itself

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Summary

Introduction

With the development of smart mobile devices and big data technologies, mobile applications have become efficient tools for information sharing. [1] has developed a mobile learning system based on mobile phone. [2] proposed a mobile learning application towards Android smart phone and blackberry. This mobile application provides both client-side e-learning service for students and service-side interface sharing service. A mobile campus portal (MPC) is developed based on six-layer architecture. It combines the B/S (Brower/Server) and C/S (Client/Server) modes together. It ensembles and provides extensive campus mobile applications for campus services or managements to meet the.

Introduction to Big Data
Topological Structure
System Layers
Application Architecture of MCP
Teaching Management Module
Administrative Management Module
Financial Management Module
Public Service Module
Implementation of Big Data in MCP
Data Translation Workflow
Security Control Mechanism
Data Analysis and Mining
Conclusion
Full Text
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