Spatial cloud computing: how can the geospatial sciences use and help shape cloud computing?

作     者：Chaowei Yang Michael Goodchild Qunying Huang Doug Nebert Robert Raskin Yan Xu Myra Bambacus Daniel Fay 

作者机构：Department of Geography and GeoInformation Science and Center for Intelligent Spatial ComputingGeorge Mason UniversityFairfax VA 22030-4444USA Department of GeographyUniversity of California5707 Ellison HallSanta Barbara CA 93106-4060USA Federal Geographic Data Committee590 National CenterReston VA 20192USA NASA Jet Propulsion Laboratory4800 Oak Grove Drive PasadenaCA 91109USA Microsoft Research ConnectionsMicrosoftRedmondWAUSA NASA Goddard Space Flight CenterCode 700GreenbeltMD 20771USA 

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

年 卷 期：2011年第4卷第4期

页      面：305-329页

核心收录：

学科分类：08[工学] 0708[理学-地球物理学] 0835[工学-软件工程] 0704[理学-天文学] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：We thank Drs.Huadong Guo and Changlin Wang for inviting us to write this definition and field review paper.Research reported is partially supported by NASA(NNX07AD99G and SMD-09-1448),FGDC(G09AC00103) Environmental Informatics Framework of the Earth,Energy,and Environment Program at Microsoft Research Connection.We thank insightful comments from reviewers including Dr.Aijun Chen(NASA/GMU),Dr.Thomas Huang(NASA JPL),Dr.Cao Kang(Clark Univ.),Krishna Kumar(Microsoft),Dr.Wenwen Li(UCSB),Dr.Michael Peterson(University of Nebraska-Omaha),Dr.Xuan Shi(Geogia Tech),Dr.Tong Zhang(Wuhan University),Jinesh Varia(Amazon)and an anonymous reviewer.This paper is a result from the collaborations/discussions with colleagues from NASA,FGDC,USGS,EPA,GSA,Microsoft,ESIP,AAG CISG,CPGIS,UCGIS,GEO,and ISDE 

主　　题：digital earth Cyber GIS geodynamics space-time high-performance computing geospatial cyberinfrastructure 

摘      要：The geospatial sciences face grand information technology(IT)challenges in the twenty-first century:data intensity,computing intensity,concurrent access intensity and spatiotemporal *** challenges require the readiness of a computing infrastructure that can:(1)better support discovery,access and utilization of data and data processing so as to relieve scientists and engineers of IT tasks and focus on scientific discoveries;(2)provide real-time IT resources to enable real-time applications,such as emergency response;(3)deal with access spikes;and(4)provide more reliable and scalable service for massive numbers of concurrent users to advance public *** emergence of cloud computing provides a potential solution with an elastic,on-demand computing platform to integrateobservation systems,parameter extracting algorithms,phenomena simulations,analytical visualization and decision support,and to provide social impact and user feedbackthe essential elements of the geospatial *** discuss the utilization of cloud computing to support the intensities of geospatial sciences by reporting from our investigations on how cloud computing could enable the geospatial sciences and how spatiotemporal principles,the kernel of the geospatial sciences,could be utilized to ensure the benefits of cloud *** research examples are presented to analyze how to:(1)search,access and utilize geospatial data;(2)configure computing infrastructure to enable the computability of intensive simulation models;(3)disseminate and utilize research results for massive numbers of concurrent users;and(4)adopt spatiotemporal principles to support spatiotemporal intensive *** paper concludes with a discussion of opportunities and challenges for spatial cloud computing(SCC).