文献类型：期刊文献

中文题名：大数据环境下林业资源信息云服务体系架构——设计与实证

英文题名：Cloud Service Architecture of Forestry Resource Information in Big Data Environment——Design and Verification

作者：侯瑞霞[1] 孙伟[2] 曹姗姗[3] 唐小明[1]

第一作者：侯瑞霞

机构：[1]中国林业科学研究院资源信息研究所;[2]新疆农业大学计算机与信息工程学院;[3]北京农业质量标准与检测技术研究中心

年份：2016

卷号：32

期号：2

起止页码：170-179

中文期刊名：中国农学通报

外文期刊名：Chinese Agricultural Science Bulletin

收录：CSTPCD

基金：国家林业公益性行业科研专项"林业资源多层次信息服务技术研究"(201304215)

语种：中文

中文关键词：林业资源信息;信息服务;云服务;体系架构;大数据

外文关键词：forestry resource information; information service; cloud service; architecture; big data;

分类号：S24

摘要：为了应对林业资源信息管理在大数据时代面临的新机遇和挑战,解决智慧林业中林业资源信息服务体系架构设计与应用问题,基于云计算理论与技术,深入剖析了林业资源信息云服务的内涵及其基本特征,参照IEEE 1471 2000提出了林业资源信息云服务架构设计元模型,进而借鉴架构模式中的层架构模式设计思想,初步设计了林业资源信息云服务体系架构的总体结构和分布式协同部署模式,在国家林业局和辽宁省开展的林业资源监管服务系统构建过程中对体系架构的理论设计结果进行了实践应用和反馈修正。结果表明,林业资源信息云服务体系架构能够满足大数据环境下林业资源监管业务需求,具有良好的实用性和推广性。
The forest resource information management is facing new opportunities and challenges in the era ofbig data. It is urgent to probe the architecture design and application of forest resource information service inthe intelligent forestry. Based on cloud computing theory and technology, the connotation and characteristics offorestry resource information cloud service were deeply analyzed, and thus the architecture design meta-modelof forestry resource information cloud service was proposed by referring to IEEE 1471 2000. Then, the overallstructure and the distributed and collaborative deployment pattern of forestry resource information cloudservice nodes were designed by applying the layer architecture model and the architecture meta- model.Meanwhile, the forestry resource monitoring service system was carried out in SFA（State ForestryAdministration） and Liaoning Province to verify the effectiveness of FRI-CSA（cloud service architecture offorestry resource information）. The results showed that the requirements of forestry resource monitoringbusiness in big data environment were fulfilled by the FRI- CSA which had the characteristics of generalapplicability and replicability to some extent.