Abstract
Everyday, space missions involve the download, from space to ground, of huge amount of raw images that are stored in the ground stations geographically distributed. It is a practical pressing task to process these data resource in real time or almost real time and to effectively share spatial information among remote sensing community. Grid technology can provide access to a global distributed computing environment via authentication, authorization, negotiation and security tools. This paper discusses the key technologies of Grid-based special remotely sensed data processing node. First, the concept of Grid-based special remotely sensed data processing node is introduced. Following is the architecture and functions of this node. Based on this architecture, the tasks scheduling algorithm is presented. Finally we introduce the computing resource meta-module information registry and renewal mechanism of the Grid-based special remotely sensed data processing node for Spatial Information Grid (SIG).
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References
Aloisio, G., Cafaro, M., Kesselman, C., Williams, R.: Web access to supercomputing. Computing In Science & Engineering 3(6), 66–72 (2001)
Aloisio, G., Cafaro, M., Falabella, P., Kesselman, C., Williams, R.: Grid computing on the web using the globus toolkit. In: Williams, R., Afsarmanesh, H., Bubak, M., Hertzberger, B. (eds.) High-Performance Computing and Networking. LNCS, vol. 1823, pp. 32–40. Springer, Heidelberg (2000)
Foster, I., Kesselman, C. (eds.): The Grid: Blueprint for a New Computing Infrastructure. Morgan Kaufmann, San Francisco (1999)
Foster, I.C.K., Tuecke, S.: The Anatomy of the Grid. Intl J. Supercomputer Applications (2001)
Johnston, W.E., Gannon, D., Nitzberg, B., Tanner, L.A., Thigpen, B., Woo, A.: Computing and Data Grids for Science and Engineering (2004), http://www.sc2000.org/techpapr/papers/pap.pap253.pdf
Petrie, G.M., Dippold, C., Fann, G., Jones, D., Jurrus, E., Moon, B., Perrine, K.: Distributed Computing Approach for Remote Sensing Data. In: Proceedings of the International Parallel and Distributed Processing Symposium (IPDPS 2003) held in Nice, France, on 22-26 April 2003 (2003)
Xue, Y., Wang, J., et al.: Preliminary study of Grid computing for remotely sense information. International Journal of Remote Sensing 26(16), 3613–3630 (2005)
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Wang, J. et al. (2007). Study on Grid-Based Special Remotely Sensed Data Processing Node. In: Gervasi, O., Gavrilova, M.L. (eds) Computational Science and Its Applications – ICCSA 2007. ICCSA 2007. Lecture Notes in Computer Science, vol 4707. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74484-9_97
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DOI: https://doi.org/10.1007/978-3-540-74484-9_97
Publisher Name: Springer, Berlin, Heidelberg
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