Performance Analysis and Optimization for Stochastic Workflows Running under Authorization Constraints

Business processes or workflows are often used to model enterprise applications. In the supporting platform for running enterprise applications, authorization policies, such as temporal constraints and role constraints, are often deployed. This paper presents the methods to analyze the impact of authorization policies on the execution of stochastic workflows. Further, we propose a novel authorization method, called SGAA (Stochastic Global Aware Authorization), to reduce the impact of authorization policies. Simulation experiments have been conducted to verify the effectiveness of the proposed analysis method and SGAA. The experimental results show that comparing with the intuitive authorization method, SGAA can reduce the delay of workflow execution caused by the authorization constraints.