Enabling Digital Earth simulation models using cloud computing or grid computing-two approaches supporting high-performance GIS simulation frameworks  

作　　者：Ick-Hoi Kim Ming-Hsiang Tsou 

机构地区：[1]Department of Geography,San Diego State University,San Diego,CA,USA

出　　处：《International Journal of Digital Earth》2013年第4期383-403,共21页国际数字地球学报（英文）

基　　金：This work used the Extreme Science and Engineering Discovery Environment(XSEDE);which is supported by National Science Foundation grant number OCI-1053575;The first author expresses the appreciation of funds received from the National Science Foundation(Award#CNS-1028177);support from San Diego State University。

摘　　要：Geospatial simulation models can help us understand the dynamic aspects of Digital Earth.To implement high-performance simulation models for complex geospatial problems,grid computing and cloud computing are two promising computational frameworks.This research compares the benefits and drawbacks of both in Web-based frameworks by testing a parallel Geographic Information System(GIS)simulation model(Schelling’s residential segregation model).The parallel GIS simulation model was tested on XSEDE(a representative grid computing platform)and Amazon EC2(a representative cloud computing platform).The test results demonstrate that cloud computing platforms can provide almost the same parallel computing capability as high-end grid computing frameworks.However,cloud computing resources are more accessible to individual scientists,easier to request and set up,and have more scalable software architecture for on-demand and dedicated Web services.These advantages may attract more geospatial scientists to utilize cloud computing for the development of Digital Earth simulation models in the future.

关 键 词：grid computing cloud computing parallel computing simulation model geospatial cyberinfrastructure 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]