Cloud Service Architecture of Forestry Resource Information in Big Data Environment

doi:10.11924/j.issn.1000-6850.casb15080106

Chinese Agricultural Science Bulletin ›› 2016, Vol. 32 ›› Issue (2): 170-179.doi: 10.11924/j.issn.1000-6850.casb15080106

Special Issue: 资源与环境；数字乡村

Previous Articles Next Articles

Cloud Service Architecture of Forestry Resource Information in Big Data Environment

Hou Ruixia¹, Sun Wei², Cao Shanshan³, Tang Xiaoming¹

(¹Research Institute of Forestry Resources Information, Chinese Academy of Forestry Sciences, Beijing 100091; ²College of Computer and Information Engineering, Xinjiang Agricultural University, Urumqi 830052;³Beijing Research Center of Agricultural Standards and Testing, Beijing 100089)

Received:2015-08-20 Revised:2015-09-14 Accepted:2015-09-15 Online:2016-01-28 Published:2016-01-28

Abstract

Abstract: 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.

Hou Ruixia,Sun Wei,Cao Shanshan and Tang Xiaoming. Cloud Service Architecture of Forestry Resource Information in Big Data Environment[J]. Chinese Agricultural Science Bulletin, 2016, 32(2): 170-179.

References

[1] Dealing with data[J].Science,2011,331(6018):639-806.
[2] 中国科学院.科技发展新态势与面向2020年的战略选择[M].北京:科学出版社,2013:2-3.
[3] 宫学庆,金澈清,王晓玲,等.数据密集型科学与工程:需求和挑战[J].计算机学报,2012(8):1563-1578.
[4] Hey T, Tansley S, Tolle K. The Fourth Paradigm: Data Intensive Scientific Discovery[J]. Redmond, Washington: Microsoft Research,2009:1-3.
[5] 陈谋询.经营型国有林场计算机管理应用技术的研究与实施[J].林业资源管理,1994(5):57-63.
[6] 冯益明,李增禄.城市林业资源地理信息系统(UFSGIS)的研建及应用[J].林业科学研究,1999(3):91-95.
[7] 杨丰,杨宇.基于Client/Server的森林资源决策系统[J].林业勘查设计,1999(1):51-52.
[8] 武刚,卢泽洋,吕洪利.森林资源管理信息基础建设——森林资源基础信息管理系统的设计与实现[J].北京林业大学学报,2001(3):77-80.
[9] 王继兴,姚永刚.3S技术在八达岭林场森林资源管理中的应用[J].北京林业大学学报,2003(S1):15-18.
[10] 肖广强,陆守一,唐丽华.基于WebGIS构建森林资源信息发布系统[J].林业资源管理,2003(4):70-72.
[11] 张怀清,鞠洪波,陈永富.基于Internet的林业资源环境信息服务系统(FINFOSYS)研究[J].林业科学研究,2004(5):576-582.
[12] 李世明,李增元,陆元昌,等.利用开源软件开发基于WebGIS的县级林业空间信息共享系统[J].林业科学,2006(7):141-144.
[13] 王阿川,李丹,王霓虹.基于J2EE和ArcGIS平台的森林资源信息管理系统的应用[J].东北林业大学学报,2007(10):92-93,96.
[14] 党秋伟,王懿祥,徐富,等.基于WebGIS和二类调查数据的单株采伐系统的开发[J].东北林业大学学报,2012(10):143-147.
[15] 李世东.中国林业信息化发展战略探讨[EB/OL].http://www.forestry.gov.cn/xxb/2520/content-508164.html,2011-11-01.
[16] 国家林业局.全国林业信息化发展技术指南[Z].2009:1-4.
[17] 张军,陆守一,程燕妮.网络化森林资源信息管理集成系统解决方案[J].林业资源管理,2002(3):75-77.
[18] 方陆明.我国森林资源信息管理网络系统解决方案的探讨[J].北京林业大学学报,2003(3):127-130.
[19] 田波,丁丽霞,周云轩,等.多层分布式林业信息服务平台的构建[J].浙江林学院学报,2006(4):429-434.
[20] 郑丽桑,兰樟仁,卢毅敏.福建省林业信息服务平台的研究[J].集美大学学报:自然科学版,2006(2):161-166.
[21] 毛炎新.全国林业资源信息服务体系结构研究[D].北京:中国林业科学研究院,2010:12-15.
[22] 曾鸣,张怀清,鞠洪波.基于SOA的森林资源综合监测信息服务研究与实现[J].林业资源管理,2011(3):100-104.
[23] 吴学明,张怀清,林辉,等.北京市湿地信息网络服务系统研究[J].湿地科学,2011(4):355-360.
[24] 孙伟,侯瑞霞,唐小明.荒漠化和沙化监测信息管理与应用服务系统架构[J].浙江农林大学学报,2012(6):930-938.
[25] 李凡,张旭,刘燕,等.国家数字林业网格体系结构的研究[J].计算机应用,2007(S1):344-345,348.
[26] 孟小峰,慈祥.大数据管理:概念、技术与挑战[J].计算机研究与发展,2013(1):146-169.
[27] NIST. A NIST Definition of Cloud Computing [EB/OL]. http://csrc.nist.gov/publications/PubsSPs.html#800-145,2011-10-25.
[28] Fang L, Jin T, Jian M, et al. NIST Cloud Computing Reference Architecture[M]. Recommendations of the National Institute of Standards and Technology,2011:3-9.
[29] David W C, David M S. Cloud Computing Services: A Model for Categorizing and Characterizing Capabilities Delivered From the Cloud[J]. Gartner,2009:4-8.
[30] Youseff L. Toward a Unified Ontology of Cloud Computing[A]. In: Proceedings of 2008 Grid Computing Environments Workshop[C].2008:l-10.
[31] Bicer T, Chiu D, Agrawal G. A Framework for Data-Intensive Computing with Cloud Bursting[A]. In: Proceedings of 2011 IEEE International Conference on Cluster Computing.2011:169-177.
[32] Perry D E, Wolf A L. Foundations for the Study of Software Architecture [J]. In: Proceedings of Software Engineering Notes,1992,17:40-52.
[33] Software Engineering Institute (SEI). Software Architecture [EB/OL]. http://www.sei.cmu.edu/architecture/,2015-09-12.
[34] Martin Fowler. Patterns of Enterprise Application Architecture [M]. New Jersey: Addison-Wesley,2003:8.
[35] Lenk A, Klems M, Nimis J, et al. What''s Inside the Cloud? An Architectural Map of the Cloud Landscape[A]. In: Proceedings of 2009 ICSE Workshop on Software Engineering Challenges of Cloud Computing[C].2009:23-31.
[36] 刘鹏.云计算(第二版)[M].北京:电子工业出版社,2011:3-4.
[37] 国家林业局.中国智慧林业发展指导意见[J].林业经济,2013(9):32.
[38] 刘亚秋,景维鹏,井云凌.高可靠云计算平台及其在智慧林业中的应用[J].世界林业研究,2011(5):18-24.
[39] 李珺.林业信息共享中的云计算应用研究[D].长沙:中南林业科技大学,2012.
[40] 黄兰秋,陈婧,高波.基于云计算的林业信息服务研究[J].林业经济,2012(11):109-115.

Cloud Service Architecture of Forestry Resource Information in Big Data Environment

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 0

Recommended Articles

Metrics

Comments

For authors

For reviewers

Reader center

Contact us