Policy-based hybrid workflow management system for advanced heart disease identification

Jung, Wooram; Youn, Chan‐Hyun; Kim, Hoeyoung; Han, Chang Hee

doi:10.1109/cbms.2009.5255368

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B Testbed For Metabolic Syndrome Estimation System1

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2010

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“…Therefore, more simulation cycles could be executed than in one node. In addition, PQRM system [7] [8] improves the completion time through effective management of the fragmented part of the simulation workflow to several resources. …”

Section: B Testbed For Metabolic Syndrome Estimation Systemmentioning

confidence: 99%

Kepler-based collaborative workflow system for metabolic syndrome estimation

Youn

Kim

Shim

et al. 2010

TENCON 2010 - 2010 IEEE Region 10 Conference

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In this paper, we discuss nano sensor-integrated system model for metabolic syndrome estimation with workflow management system. We also represent function modules which can measure the heat metabolism in cell level and analyze it to distinguish condition of cell and human system. As for the evaluation of proposed system, we composed prototype workflows that automate each step of metabolism estimation simulation experiment processes with Kepler Extension model that is useful for distributed collaborative simulation. Through the experimental results, we conclude that the proposed system enhanced distributed workflow execution performance according to the cell metabolism simulation model.

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Section: B Testbed For Metabolic Syndrome Estimation Systemmentioning

confidence: 99%