大数据环境下林业资源信息云服务体系架构

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。

Cloud Service Architecture of Forestry Resource Information in Big Data Environment

The forest resource information management is facing new opportunities and challenges in the era of big data. It is urgent to probe the architecture design and application of forest resource information service in the intelligent forestry. Based on cloud computing theory and technology, the connotation and characteristics of forestry resource information cloud service were deeply analyzed, and thus the architecture design meta-model of forestry resource information cloud service was proposed by referring to IEEE 1471 2000. Then, the overall structure and the distributed and collaborative deployment pattern of forestry resource information cloud service 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 Forestry Administration) and Liaoning Province to verify the effectiveness of FRI-CSA (cloud service architecture of forestry resource information). The results showed that the requirements of forestry resource monitoring business in big data environment were fulfilled by the FRI-CSA which had the characteristics of general applicability and replicability to some extent.