Fifth International Conference on Grid and Cooperative Computing Workshops
Study on Remotely Sensed Data Access and Integration Grid-enabled Middleware
Hunan, China
October 21-October 23
ISBN: 0-7695-2695-0
Yong Xue, Chinese Academy of Sciences, China; London Metropolitan University, UK
Yi Xie, China Agricultural University, China
Lu Yang, China Agricultural University, China
Ying Ding, China Agricultural University, China
Ya OuYang, China Agricultural University, China
Li Kang, China Agricultural University, China
Every day, Space missions involve the download, from space to ground, of many raw images that are stored in the ground station. These data are stored in geographically distributed and heterogeneous database systems, which make these resources access and share difficult. Data grid technique can hide the difference of storage systems and makes the isolated data resources be shared in the grid environment. This paper describes OGSA-DAI module, which is based on the data grid technique and studies the remotely sensed data access and integration middleware, especially the technology of developing middleware to deal with large binary remotely sensed data.
Citation:
Jianqin Wang, Yong Xue, Yi Xie, Dingsheng Liu, RuiZhi Sun, Lu Yang, Ying Ding, Ya OuYang, GuangLi Liu, YunLing Liu, Li Kang, Xinrong Cheng, "Study on Remotely Sensed Data Access and Integration Grid-enabled Middleware," gccw, pp.477-481, Fifth International Conference on Grid and Cooperative Computing Workshops, 2006