海量测试数据的场景化指标精细分析研究

本文提出了一种基于军事栅格、地理信息的多场景海量数据的精细化分析方法，能够支持用户在GIS地图上自定义测试场景；同时基于军事栅格，将海量测试数据进行切割和存储；从而实现测试数据与测试场景的关联，完成场景化指标的精细化分析。该方法能够提高场景化分析效率，深度挖掘大数据资源，节约测试和分析成本。

Research on the Meticulous Analysis of the Scenarized Indexes of the Massive Test Data

Currently it has accumulated vast amounts of test data on a variety of test platforms. Based on these data, how to make deeply data mining, utilization, and network performance analysis of different scenarios, is an urgent problem to be solved. This paper presents a meticulous analysis method of multi-scenario based on the military raster and geographic information, which supports user-defined test scenarios making on the GIS map. And the massive test data can be cutted and stored based on the military raster. By these, test data can be associated with the test scenarios. Then the meticulous analysis of the scenarized indexes can be done easily. So the method suggested can improve the efficiency of the scenarized analysis, make a depth big-data mining, and save the cost of the test and analysis.