High Throughput Computing for Spatial Information Processing (HIT-SIP) System on Grid Platform

For many remote sensing application projects, the quality of the research or the product is heavily dependent upon the quantity of computing cycles available. Middleware is software that connects two or more otherwise separate applications across the Internet or local area networks. In this paper, we present the High Throughput Computing Spatial Information Processing (HIT-SIP) System (Prototype), which is developed in Institute of Remote Sensing Applications, Chinese Academy of Sciences, China. Several middleware packages developed in the HIT-SIP system are demonstrated. Our experience shows that it is feasible that our grid computing testbed can be used to do remote sensing information analysis.

[1]  Stephen Gilmore,et al.  Evaluating the Performance of Skeleton-Based High Level Parallel Programs , 2004, International Conference on Computational Science.

[2]  Ian T. Foster,et al.  The Anatomy of the Grid: Enabling Scalable Virtual Organizations , 2001, Int. J. High Perform. Comput. Appl..

[3]  Yanning Guan,et al.  Grid-based aerosol retrieval over land using dark target algorithm from MODIS data , 2005 .

[4]  Yong Xue,et al.  A spatial information grid supported prototype telegeoprocessing system , 2003, IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477).

[5]  Yanning Guan,et al.  A new approach to generate the look-up table for aerosol remote sensing on grid platform , 2004, IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium.

[6]  Ying Luo,et al.  Experience of Remote Sensing Information Modelling with Grid Computing , 2004, International Conference on Computational Science.

[7]  Simon J. Cox,et al.  Exploiting Web Technologies for Grid Architecture , 2002, 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGRID'02).

[8]  Ying Luo,et al.  Preliminary Study on Unsupervised Classification of Remotely Sensed Images on the Grid , 2004, International Conference on Computational Science.

[9]  Ying Luo,et al.  Feasibility Study of Geo-spatial Analysis Using Grid Computing , 2004, International Conference on Computational Science.

[10]  Ian Foster,et al.  The Grid 2 - Blueprint for a New Computing Infrastructure, Second Edition , 1998, The Grid 2, 2nd Edition.