面向预警决策的大数据管理平台软件体系结构研究.pdfVIP

ABSTRACT Big Data application development is in full swing for these years. Sense of abstraction - processing - prediction - decision model, which procedure contains acquiring data flow from business, managing and processing for the generated prediction model, predicting in order to achieve early warning decisions, totally including forecasting model learning and online applications. Analysis and design large data management software architecture and implementation is to support large data application systems. This paper made the following tasks: 1. Bring up big data management platform domain model for warning decision. For large data management, identify common needs and changes in the field of border areas. Establish the domain model, including role model, feature model, information model, business model and domain ontology. 2. Bing up big data management platform software architecture for warning decision. Proposed for large data management needs, design large data management platform solutions, determine the core software architecture model from five aspects, as logical view, process view, development view, physical view and the scene. Design components, connectors, configuration interaction relationships and constraints, and descript them using the Z formal language. 3. Develop a big data management platform prototype system using the background of power plant production safety monitor. Based on the achievements of architecture design, go through implementation process, implementation architecture and network topology of the prototype system, and describe multi-source heterogeneous data storage structures. In this paper, we made data management domain modeling and architecture guiding from domain engineering methodology. It is an important innovation in the field for system design, research and development, and would play a catalytic role for subsequent application development.