InterCondor: A Prototype High Throughput Computing Middleware for Geocomputation

  • Authors:

  • Yong Xue;Yanguang Wang;Ying Luo;Jianping Guo;Jianqin Wang;Yincui Hu;Chaolin Wu

  • Affiliations:

  • State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Institute of Remote ...;State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Institute of Remote ...;State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Institute of Remote ...;State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Institute of Remote ...;College of Information and EEng., China Agricultural University, Beijing, China 100083;State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Institute of Remote ...;State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Institute of Remote ...

  • Venue:
  • ICCS '08 Proceedings of the 8th international conference on Computational Science, Part II
  • Year:
  • 2008

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Abstract

This paper presents the design, analysis and implementation of InterCondor system. The InterCondor system is an implementation of the concept of InterGrid. It uses Condor as a basic local Grid computing engine. It utilizes a series of Grid services, which including register service, data transfer service, task schedule service, security authentication service and status monitor service, to manage the resources such as remote sensing algorithms, remote sensing data, and computing resource under the management of Condor engine. We aim at integrating Grid Service data management, task schedule, and the computing power of Condor into remote sensing data processing and analysis to reduce the processing time of a huge amount of data and long-processing-time remote sensing task by algorithms issuance, data division, and the utilization of any computing resources unused on Internet.