Developing a grid-enabled spatial Web portal for Internet GIServices and geospatial cyberinfrastructure

被引:45
作者
Zhang, Tong [2 ]
Tsou, Ming-Hsiang [1 ]
机构
[1] San Diego State Univ, Dept Geog, San Diego, CA 92182 USA
[2] Wuhan Univ, State Key Lab Informat Engn Surveying, Transportat Res Ctr, Wuhan 430072, Hubei, Peoples R China
基金
中国国家自然科学基金; 美国国家航空航天局; 美国国家科学基金会;
关键词
Cyberinfrastructure; Internet GIServices; Grid computing; Web services; Web portals; DOMAIN DECOMPOSITION; PERFORMANCE; INTERPOLATION; ACCESSIBILITY;
D O I
10.1080/13658810802698571
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Geospatial cyberinfrastructure integrates distributed geographic information processing (DGIP) technology, high-performance computing resources, interoperable Web services, and sharable geographic knowledge to facilitate the advancement of geographic information science (GIScience) research, geospatial technology, and geographic education. This article addresses three major development issues of geospatial cyberinfrastructure: the performance of grid-enabled DGIP services, the integration of Internet GIService resources, and the technical challenges of spatial Web portal implementation. A four-tier grid-enabled Internet GIService framework was designed for geospatial cyberinfrastructure. The advantages of the grid-enabled framework were demonstrated by a spatial Web portal. The spatial Web portal was implemented based on current available Internet technologies and utilizes multiple computing resources and high-performance systems, including local PC clusters and the TeraGrid. By comparing their performance testing results, we found that grid computing (TeraGrid) is more powerful and flexible than local PC clusters. However, job queuing time and relatively poor performance of cross-site computation are the major obstacles of grid computing for geospatial cyberinfrastructure. Detailed analysis of different computational settings and performance testing contributes to a deeper understanding of the improvements of DGIP services and geospatial cyberinfrastructure. This research demonstrates that resource/service integration and performance improvement can be accomplished by deploying the new four-tier grid-enabled Internet GIService framework. This article also identifies four research priorities for developing geospatial cyberinfrastructure: the design of GIS middleware, high-performance geovisualization methods, semantic GIService, and the integration of multiple GIS grid applications.
引用
收藏
页码:605 / 630
页数:26
相关论文
共 41 条
  • [1] A dynamic earth observation system
    Aloisio, G
    Cafaro, M
    [J]. PARALLEL COMPUTING, 2003, 29 (10) : 1357 - 1362
  • [2] Amdahl G.M, 1967, AFIPS67 SPRING P AFI, P483, DOI [DOI 10.1145/1465482.1465560, 10.1145/1465482.1465560]
  • [3] ANDERSON G, 2003, T GIS, V74, P447
  • [4] [Anonymous], 2005, SPATIAL PORTALS GATE
  • [5] Anselin L., 2004, J GEOGRAPHIC SYSTEMS, V6, P197, DOI [DOI 10.1007/S10109-004-0132-5, 10.1007/s10109-004-0132-5]
  • [6] MASSIVELY-PARALLEL PROCESSING OF SPATIAL STATISTICS
    ARMSTRONG, MP
    MARCIANO, R
    [J]. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SYSTEMS, 1995, 9 (02): : 169 - 189
  • [7] DOMAIN DECOMPOSITION FOR PARALLEL PROCESSING OF SPATIAL PROBLEMS
    ARMSTRONG, MP
    DENSHAM, PJ
    [J]. COMPUTERS ENVIRONMENT AND URBAN SYSTEMS, 1992, 16 (06) : 497 - 513
  • [8] Massively parallel strategies for local spatial interpolation
    Armstrong, MP
    Marciano, RJ
    [J]. COMPUTERS & GEOSCIENCES, 1997, 23 (08) : 859 - 867
  • [9] Armstrong MP, 1996, INT J GEOGR INF SYST, V10, P713, DOI 10.1080/026937996137800
  • [10] Grids and Grid technologies for wide-area distributed computing
    Baker, M
    Buyya, R
    Laforenza, D
    [J]. SOFTWARE-PRACTICE & EXPERIENCE, 2002, 32 (15) : 1437 - 1466