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Performance analysis and optimization for workflow authorization

机译:针对工作流授权的性能分析和优化

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摘要

Many workflow management systems have been developed to enhance the performance of workflow executions. The authorization policies deployed in the system may restrict the task executions. The common authorization constraints include role constraints, Separation of Duty (SoD), Binding of Duty (BoD) and temporal constraints. This paper presents the methods to check the feasibility of these constraints, and also determines the time durations when the temporal constraints will not impose negative impact on performance. Further, this paper presents an optimal authorization method, which is optimal in the sense that it can minimize a workflow’s delay caused by the temporal constraints. The authorization analysis methods are also extended to analyze the stochastic workflows, in which the tasks’ execution times are not known exactly, but follow certain probability distributions. Simulation experiments have been conducted to verify the effectiveness of the proposed authorization methods. The experimental results show that comparing with the intuitive authorization method, the optimal authorization method can reduce the delay caused by the authorization constraints and consequently reduce the workflows’ response time.
机译:已经开发了许多工作流管理系统以增强工作流执行的性能。系统中部署的授权策略可能会限制任务执行。常见的授权约束包括角色约束,职责分离(SoD),职责绑定(BoD)和时间约束。本文提出了检查这些约束的可行性的方法,并确定了时间约束不会对性能造成负面影响的持续时间。此外,本文提出了一种最佳授权方法,该方法在可以最大程度地减少因时间限制而导致的工作流延迟方面是最佳的。授权分析方法也被扩展为分析随机工作流,在该工作流中,任务的执行时间无法确切知道,但遵循一定的概率分布。已经进行了仿真实验,以验证所提出的授权方法的有效性。实验结果表明,与直观授权方法相比,最优授权方法可以减少授权约束带来的时延,从而减少工作流的响应时间。

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