Modeling and execution of event stream processing in business processes

Appel, Stefan; Kleber, Pascal; Frischbier, Sebastian; Freudenreich, Tobias; Buchmann, Alejandro

doi:10.1016/j.is.2014.04.002

Cited by 53 publications

(32 citation statements)

References 27 publications

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“…This way parallel instances of the same process can be executed and managed. Appel et al [107] propose a middleware connecting CEP and process engines. While not directly targeting process execution by a CEP engine, they recognize the need to manage process instances and to "mark" each event by an ID relating it to a specific process instance.…”

Section: Existing Work Related To Q4mentioning

confidence: 99%

From event streams to process models and back: Challenges and opportunities

Soffer

Hinze

Koschmider

et al. 2019

Information Systems

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The domains of complex event processing (CEP) and business process management (BPM) have different origins but for many aspects draw on similar concepts. While specific combinations of BPM and CEP have attracted research attention, resulting in solutions to specific problems, we attempt to take a broad view at the opportunities and challenges involved. We first illustrate these by a detailed example from the logistics domain. We then propose a mapping of this area into four quadrants -two quadrants drawing from CEP to create or extend process models and two quadrants starting $ This paper is an outcome of discussions and collaborations that were initiated at the Dagstuhl seminar 16341 on "Integrating Process-Oriented and Event-Based Systems" from a process model to address how it can guide CEP. Existing literature is reviewed and specific challenges and opportunities are indicated for each of these quadrants. Based on this mapping, we identify challenges and opportunities that recur across quadrants and can be considered as the core issues of this combination. We suggest that addressing these issues in a generic manner would form a sound basis for future applications and advance this area significantly.

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Section: Existing Work Related To Q4mentioning

confidence: 99%

From event streams to process models and back: Challenges and opportunities

Soffer

Hinze

Koschmider

et al. 2019

Information Systems

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show abstract

“…For example, an actuator device may connect with an intermediary service provided by different devices in order to let the management system access it. Another example is when the BPMS involves continuous tasks such as sensor data streaming and Eventing, existing standard-based BPM modelling tools cannot explicitly define the process [78]. In such cases, the system needs a more proper way to let designers to model the process accordingly in order to fully manage and optimise the systems.…”

Section: Existing Vs Extensionmentioning

confidence: 99%

“…Although existing BPMS support single events, they lack feasible integration across the process modelling, the process execution and the IT infrastructure layer. Hence, Appel et al [78] introduced specific element-Stream Process Unit (SPU) to integrate the continuous event streaming processes.…”

Section: Modelling Iot Elementsmentioning

confidence: 99%

“…• SPUs [78]. Event-driven Process Chains (EPCs), which is the flowchartbased approach for BP modelling, is commonly used in ERP systems.…”

Section: Comprehensive Frameworkmentioning

confidence: 99%

“…Existing event streaming schemes [116,78,26] were designed for specific scenarios. There is a lack of generic BP model for defining the streaming type activities for both intra-organisational, inter-organisational and edge networks.…”

Section: Run-time Monitoring and Event Streamingmentioning

confidence: 99%

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The Internet of Things (IoT) represents a comprehensive environment that consists of a large number of smart devices interconnecting heterogeneous physical objects to the Internet. Many domains such as logistics, manufacturing, agriculture, urban computing, home automation, ambient assisted living and various ubiquitous computing applications have utilised IoT technologies. Meanwhile, Business Process Management Systems (BPMS) have become a successful and efficient solution for coordinated management and optimised utilisation of resources/entities. However, past BPMS have not considered many issues they will face in managing large scale connected heterogeneous IoT entities. Without fully understanding the behaviour, capability and state of the IoT entities, the BPMS can fail to manage the IoT integrated information systems. In this paper, we analyse existing BPMS for IoT and identify the limitations and their drawbacks based on Mobile Cloud Computing perspective. Later, we discuss a number of open challenges in BPMS for IoT.

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Modeling and execution of event stream processing in business processes

Cited by 53 publications

References 27 publications

From event streams to process models and back: Challenges and opportunities

From event streams to process models and back: Challenges and opportunities

Mobile Cloud Business Process Management System for the Internet of Things

Developing a Platform for Supporting Clinical Pathways

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