一种新的BPMN流程实例自适应适应引擎

Jamila Oukharijane, Imen Ben Said, M. Chaâbane, E. Andonoff, R. Bouaziz
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引用次数: 5

摘要

本文介绍了一个支持运行BPMN流程实例自适应的自适应引擎。该自适应引擎实现了自主计算的MAPE-K(监控、分析、计划、执行、知识)方法,实现了自适应。MAPE控制回路旨在识别适应需求,并定义和执行处理这些需求所需的操作,而K是MAPE控制回路所需的知识。更准确地说,本文介绍了自适应引擎的体系结构:它详细说明了负责流程实例自适应的自主管理器如何实现MAPE控制回路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards a New Adaptation Engine for Self-Adaptation of BPMN Processes Instances
In this paper we introduce an adaptation engine supporting self-adaptation of running BPMN process instances. This adaptation engine implements the MAPE-K (Monitor, Analyze, Plan, Execute, Knowledge) approach from autonomic computing for self-adaptation. The MAPE control loop aims at identifying the adaptation need and defining and executing the operations required to deal with these needs while the K is the knowledge needed for the MAPE control loop. More precisely, the paper presents the architecture of the adaptation engine: it details how autonomic managers responsible for self-adaptation of process instances implement the MAPE control loop.
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