Abstract
This paper proposes a DB-integrated scientific workflow service framework which adopts object deputy model to describe the execution of a series of scientific tasks,thus allows workflow management operations to be performed in a way analogous to traditional database management operations.Furthermore,based on bi-directional pointer mechanism in object deputy database,this paper introduces a new data provenance method.This approach is much more efficient than annotation or inversion,which not only saves a lot of storage space,but also reduces the cost of extra computing.A partial materializing data schema is also presented to improve the efficiency of data tracking,and the experiment results show that it can provide a preferable system performance.
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