Design, Implementation and Deployment of Grid-based Information Service and portlets
Xiaozhu, Wu -, Chongcheng, Chen, Grégory, Lucas, Bela, M. Lynne Markus · 2009
The core of this paper was developed by the Key Laboratory of Spatial Data Mining & Information Sharing (LSDMIS) of Fuzhou University (CN) and it is further developed and presented by its partner university the University of West Hungary, Faculty of Geoinformatics (HU) in the framework of the Science and Technology bi-lateral programme. The paper deals with the use of Grid computing services to support nature conservation and biodiversity management. The study area is located in the Wuyi Mountain, a natural reserve with the largest and most representative semitropical original forest ecosystem in China and where biodiversity preservation is a priority. At present, the research on biodiversity of Wuyi Mountain mainly focused on fieldwork and produced abundant observation data. By doing mapping and dynamic remote-sensing monitoring on biodiversity of Wuyi Mountain, and then publishing relevant information with the use of geographical information service and virtual simulation model through grid computing technology, it could provide decision support for biodiversity protection and rare species preservation. Another point is to reveal the status and characteristic of biodiversity of Wuyi Mountain, to effectively protect and reasonably utilize local biodiversity, and to promote regional sustainable development. How to share and distribute information and knowledge about biodiversity between the professionals working in this area is a key point for the protection of rare plants and animals. This paper describes how the gridbased information sharing technology can be used and introduces the GeoKSGrid platform developed by the University of Fuzhou. The geographical knowledge grid platform (GeoKSGrid) is build upon the mainstream grid middleware Globus toolkit 4. The paper explains how grid-based information services and portlets were designed and implemented. By using grid services to publish spatial data in GML and virtual models of plants in VRML format, registering and deploying services into the GeoKSGrid platform, the outcomes of research on biodiversity protection could be more easily accessed by other researchers.