Workflow-based Tasks Scheduling on Grid

نویسندگان

  • Kun Gao
  • Ning Zhou
  • Kexiong Chen
  • Meiqun Liu
  • Jiaxun Chen
چکیده

Due to the distributed nature of data and the need for high performance, it makes Grid a suitable environment for distributed data mining. Since distributed data mining applications are typically data intensive, one of the main requirements of such a DDM Grid environment is the efficient workflow scheduling. We propose an architecture for a Knowledge Grid scheduler that results in the minimal response time. The experimental result demonstrates that the architecture has good performance. Key-Words: Workflow, Scheduling, Data mining, Knowledge Grid

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تاریخ انتشار 2005