轻量级地理数据分布式处理框架关键技术研究OACSTPCD

The on-demand GIS applications which only support single-machine operation have problems such as time-consuming and low effi-ciency processing in the face of massive data processing.In order to improve the efficiency of personalized GIS application in processing mas-sive geographical data,we built a lightweight geographical data distributed processing framework based on Docker by studying distributed task scheduling technology and lightweight virtualization technology.This framework supports personalized GIS application for geographical data distributed processing by means of an interface,which is lightweight,flexible and cross-platform.Taking clipping image data as a example,we conducted comparative test and analysis.The result shows that this framework is more efficient than traditional single-machine operations.