Metasynthesis-Based Intelligent Big Data Processing Paradigm

Abstract

This research aims to establish a methodology of metasynthesis-based intelligent big data processing paradigm which works based on the mechanisms of metasynthesis-architecture, metasynthesis-technology, and the principle of meta- synthesis-intelligence. The proposed method will achieve the ability of intelligent data acquisition, data identification, data structure design, data analysis, and make decisions automatically and intelligently based on integrated big data processing technologies, decision making modeling methods, and intelligent algorithms. The human involvement, societal characteristics, dynamic characteristics, and uncertainty are also considered in this study. The current research status is analyzed including the big data architectures, big data processing systems, big data management, big data application. In order to deal with the complexity of big data system and establish an intelligent big data processing problem-solving methodology, an idea of “3M” structure of metasynthesis is proposed. The methodology framework is built based on the academic thoughts of metasynthesis. The application prospects for this methodology is discussed for future research.