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A Graph Pattern Based Approach for Automatic Decomposition of IoT Aware Business Processes

机译:基于图形模式的IOT感知业务流程的自动分解方法

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The context information that business process can get from the Internet of Things (IoT) can be used as a competitive advantage in terms of optimisation and agility. However, the exchange of messages between central systems and IoT devices come with a price, battery consumption, a scarcely resource of such devices. Despite the literature offers many technical proposals to tackle this problem, we take an approach driven by the process definition perspective. We propose to reduce the number of exchanged messages by decentralising process execution, moving parts of the business processes to IoT devices, and taking advantage of their computational capabilities. The first step for decentralisation is decomposition, i.e., the division of processes into parts and identify those that IoT devices can execute. In this paper, we present an automatic decomposition solution for IoT aware business processes, described using the Business Process Model and Notation (BPMN). We start from a BPMN definition that follows a centralised approach and apply our decomposition method to transfer to the IoT devices the operations that can be performed there. We use a graph based approach and transform a BPMN definition into a directed graph. Thereafter, we identify cuts that define the parts to be transferred to the IoT devices. This decomposition preserves the control and the data dependencies of the original process, reduces the number of exchanged messages as well as the central processing. The code that IoT devices execute is automatically generated from the BPMN process being decentralised.
机译:业务流程可以从物联网(IOT)获得的上下文信息可以在优化和敏捷性方面用作竞争优势。但是,中央系统和物联网设备之间的消息交换具有价格,电池消耗,几乎没有这种设备的资源。尽管文献提供了许多技术提案来解决这个问题,但我们采取了由流程定义视角驱动的方法。我们建议通过分散流程执行,将业务流程的部分移动到IOT设备,并利用其计算能力来减少交换消息的数量。分散的第一步是分解,即进程分为部分并确定可以执行的IoT设备的划分。在本文中,我们为IOT感知业务流程提供了自动分解解决方案,使用业务流程模型和符号(BPMN)描述。我们从一个遵循的BPMN定义开始,遵循集中方法,并应用我们的分解方法转移到物联网设备可以在那里执行的操作。我们使用基于图形的方法并将BPMN定义转换为定向图。此后,我们识别剪切,用于定义要传输到物联网设备的部件。该分解保留了原始过程的控制和数据依赖性,从而减少了交换消息的数量以及中央处理。 IoT设备执行的代码是从分散的BPMN进程自动生成的。

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