Prototyping an open environment for sharing geographical analysis models on cloud computing platform

作     者：Yongning Wen Min Chen Guonian Lu Hui Lin Li He Songshan Yue 

作者机构：Key Laboratory of Virtual Geographic Environment(Ministry of Education of China)Nanjing Normal UniversityNanjingChina Institute of Space and Earth Information ScienceThe Chinese University of Hong KongShatinHong Kong State Key Laboratory of Information Engineering in SurveyingMapping and Remote SensingWuhan UniversityWuhanChina 

出 版 物：《International Journal of Digital Earth》 (国际数字地球学报（英文）)

年 卷 期：2013年第6卷第4期

页      面：356-382页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：The work described in this article was supported by the Key Program of National Natural Science Foundation of China(Grant No.40730527) the National Natural Science Foundation of China(Grant No.41001223,Grant No.41101439) the open fund from the Guangdong Key Laboratory for Urbanization and Geo-simulation in Sun Yat-sen University 

主　　题：geographical analysis models cloud computing open environment 

摘      要：The sharing of geographical analysis models is of crucial importance for simulating geographic processes and phenomena in the current geographical information systems(*** Earth),but there remain some issues that have not been completely *** challenges include,eliminating model heterogeneity and searching for suitable infrastructures to support the open sharing and effective execution of *** advantage of cloud computing,this article aims to address the above issues and develop an open environment for geographical analysis model *** the basis of the analysis of the applicability of cloud computing,the architecture of the open environment is *** importantly,key strategies designed for heterogeneous model description,model encapsulating as well as model deploying and transparent accessing in the cloud are discussed in detail to establish such an ***,the prototype environment is implemented,and experiments were conducted to verify the environment’s feasibility to support the sharing of geographical analysis models.