Name
Abstract | ||
|---|---|---|
At present, massive amounts of data are distributed across different institutions, departments and scientific research institutes, and even at one site can be stored in heterogeneous storage systems. Therefore, it is hard to get the desired information from the massive data resource, which leads to the requirement of data sharing. In an effort to solve this problem, this paper studies Grid technology and RLS, for sharing remote sensing data. Furthermore, a resource directory service has been designed and implemented by using RLS in the Grid environment. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1016/j.mcm.2009.10.024 | Mathematical and Computer Modelling |
Keywords | Field | DocType |
massive data resource,rls,resource directory service,resource sharing,grid rls,different institution,grid environment,massive amount,scientific research institute,grid,paper studies grid technology,heterogeneous storage system,storage system,scientific research,directory service | Mathematical optimization,Grid computing,Computer science,Data sharing,Lightweight Directory Access Protocol,Shared resource,Database,Grid,Directory service,Distributed computing | Journal |
Volume | Issue | ISSN |
51 | 11-12 | Mathematical and Computer Modelling |
Citations | PageRank | References |
2 | 0.47 | 3 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wanlin Gao | 1 | 18 | 8.74 |
| Bangjie Yang | 2 | 6 | 1.02 |
| Kemin Yang | 3 | 2 | 0.47 |
| Lina Yu | 4 | 16 | 5.31 |
| Jianqin Wang | 5 | 32 | 8.97 |
| Qing Wang | 6 | 8 | 1.69 |
| Jianing Zhao | 7 | 25 | 3.80 |