Workflow and Dataflow Management Based on Probabilistic Colored Petri Net and Markov Chain
In the context of big data,workflow and data flow often occur at the same time in information system.However,the existing researches only model workflow without considering data flow.In this paper,workflow and data flow are unified modeling.Firstly,the basic Petri Net is extended and probabilistic colored Petri Net PCPN is defined to describe workflow and data flow re-spectively.The basic logic unit of PCPN is defined,and the workflow and data flow are modeled and analyzed.The workflow and da-ta flow model based on PCPN is transformed into Markov chain model,and the mathematical probability analysis and decision analy-sis are carried out.The effectiveness and feasibility of the modeling method are verified by an example.
workflowdataflowprobabilistic colored Petri Net PCPNMarkov chainmodeling management
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