On-Demand Geo-Computing: The Roadmap to Open, Agile and On-Demand Geo-Computing
By discussing Grid GIS, UbiGIS and OpenGIS, and analyzing the challenges that current geo-computing facing, the paper concludes that geo-computing should be more suitable for common people to understand and utilize. Inspired and supported by on demand computing, the paper presents a geo-computing strategy termed on-demand geo-computing (ODGC). Comparing with Grid GIS, UbiGIS and OpenGIS, the paper suggests that ODGC focus on the strategy that provides users with geo-computing capabilities on their demand. The paper breaks the on-demand feature into suitability, temporal-validity and easy-to-use features, and develops a conceptual model termed geo-VO to achieve these features. Geo-VO is the fusion of virtual organization, information supply chain and geospatial information value-add chain. Geo-VO functions as both geo-computing domain reference model and coordinative computing model of distributed geo-computing resources. Geo-task-VO is another conceptual model that describes how ODGC running. The paper discusses ODGC philosophy by geo-VO and geo-task-VO and the ingredients that enable the agileness, easy-to-use and on-demand features. To illustrate and provide an intuitive picture of ODGC, an example termed geographical cartography service is developed to explain how an ODGC application and service is developed and runs. At the end, the paper concludes ODGC and suggests the future studies.
geo-computing on demand computing Grid computing Grid GIS Ubiquitous computing UbiGIS Web services
Jian Wang Guohui Gan Yong Xu Zhiqiang Wang
National Engineering Research Center for Information Technology in Agriculture, 100097,Beijing, Chin Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 100101
国际会议
北京国际地理信息系统学术讨论会第七届会议（7th International Workshop Geographical Information System
北京
英文
28-38
2007-09-14（万方平台首次上网日期，不代表论文的发表时间）