The architecture of SIG computing environment and its application to image processing

Authors:
Chunhui Yang;Deke Guo;Yan Ren;Xueshan Luo;Jinfeng Men
Affiliations:
School of Information Systems and Management, National University of Defense Technology, Changsha, China;School of Information Systems and Management, National University of Defense Technology, Changsha, China;School of Information Systems and Management, National University of Defense Technology, Changsha, China;School of Information Systems and Management, National University of Defense Technology, Changsha, China;Key Lab of CFC, National University of Defense Technology
Venue:
GCC'05 Proceedings of the 4th international conference on Grid and Cooperative Computing
Year:
2005

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Abstract

Spatial Information Grid (SIG) is a project of applying grid technology to share and integrate spatial data resources, information processing resources, equipment resources, and knowledge resources. SIG computing environment aims to apply the concept of SIG to share hybrid computing resources for processing remote sensing (RS) images. RS image processing is a data-intensive computing problem, and it adapts to be processed according data parallel computing model. In this paper, we discuss the architecture of SIG computing environment, which can provide a powerful computing infrastructure used to process RS image cooperatively. In order to achieve high performance, we propose a model of the image division. From the relation among the processing time, the communication latency, and the transferring ratio, we can achieve some useful conclusions to determine the strategy of the image division. Furthermore, we can discover two optimal division strategies through comparing the experimental results with those useful conclusions.