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Self-adapting recovery nets for policy-driven exception handling in business processes

机译:自适应恢复网,用于业务流程中策略驱动的异常处理

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In this paper, we propose Self-Adapting Recovery Net (SARN), an extended Petri net model, for specifying exceptional behavior in business processes. SARN adapts the structure of the underlying Petri net at run time to handle exceptions while keeping the Petri net design easy. The proposed framework caters for the specification of high-level recovery policies that are incorporated either with a single task or a set of tasks, called a Recovery Region. These recovery policies are generic directives that model exceptions at design time together with a set of primitive operations used at run time to handle the occurrence of exceptions. We identified a set of recovery policies that are useful and commonly needed in many practical situations. A tool has been developed to illustrate the viability of the proposed exception handling technique.
机译:在本文中,我们提出了扩展的Petri网模型自适应恢复网(SARN),用于指定业务流程中的异常行为。 SARN在运行时调整底层Petri网的结构以处理异常,同时保持Petri网设计的简便性。提议的框架适合于与单个任务或一组称为恢复区域的任务结合在一起的高级恢复策略的规范。这些恢复策略是通用指令,可在设计时对异常进行建模,并在运行时使用一组原始操作来处理异常的发生。我们确定了一套恢复策略,这些策略在许多实际情况下都是有用且通常需要的。已经开发了一种工具来说明所提出的异常处理技术的可行性。

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