Title
Remote sensing information processing grid node with loose-coupling parallel structure
Abstract
To use traditional algorithms and software packages on Grid system, traditional algorithms and software packages, in general, have to be modified. In this paper we focus on standards and methodologies for Grid platform within the context of the Remote Sensing Data Processing Grid Node (RSDPGN) that implements a loose-coupling parallel structure for orchestrating traditional remote sensing algorithms and software packages on the Condor platform. We have implemented 17 remote sensing applications in one system using Web service and workflow technology without any change to traditional codes. Some core algorithm codes are come from a remote sensing software package which we has neither resource codes nor APIs. Others come from the program codes accumulated by our group. The design and prototype implementation of RSDPGN are presented. The advantage and shortage of loose-coupling structure is analysed. Through a case study of land surface temperature calcu-lation from MODIS data, we demonstrate the way to modify software packages in details. Moreover we discuss the problems and solutions based on our experience such as system architecture, the kinds of functional modules, fast data transfer, and state monitoring.
Year
DOI
Venue
2006
10.1007/11758501_127
International Conference on Computational Science (1)
Keywords
Field
DocType
traditional algorithm,parallel structure,grid platform,software package,traditional code,condor platform,system architecture,modis data,grid node,information processing grid node,fast data,grid system,remote sensing,web service,data transfer,information processing
Workflow technology,Loose coupling,Computer science,Collaborative software,Package development process,Remote sensing,Remote sensing application,Software,Systems architecture,Grid,Distributed computing
Conference
Volume
ISSN
ISBN
3991
0302-9743
3-540-34379-2
Citations 
PageRank 
References 
3
0.45
1
Authors
9
Name
Order
Citations
PageRank
Ying Luo1218.13
Yong Xue211857.61
Yincui Hu3227.73
Chaolin Wu423726.05
Guoyin Cai52511.55
Lei Zheng6114.25
Jianping Guo73517.41
Wei Wan84210.00
Shaobo Zhong93913.72