Workflow-based tasks scheduling on grid

Authors:
Kun Gao;Ning Zhou;Kexiong Chen;Meiqun Liu;Jiaxun Chen
Affiliations:
Information Science and Technology College, Donghua University, P.R.C and Aviation University of Air Force, P.R.C;Administration of Radio Film and Television of Jilin Province, P.R.C;Aviation University of Air Force, P.R.C;Administration of Radio Film and Television of Jilin Province, P.R.C;Information Science and Technology College, Donghua University, P.R.C
Venue:
SMO'05 Proceedings of the 5th WSEAS international conference on Simulation, modelling and optimization
Year:
2005

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Abstract

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.