Supervised learning algorithm for automatic adaption of situation templates using uncertain data

Zweigle, Oliver; Häußermann, Kai; Käppeler, Uwe-Philipp; Levi, Paul

doi:10.1145/1655925.1655960

Cited by 9 publications

(4 citation statements)

References 6 publications

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“…Furthermore, by providing graphical modeling tools for situations and choreographies, we ease using our approach and broaden the potential user group also to non-technical domain experts. Especially the use of Situation Templates, an established means for situation modeling Häussermann et al (2010); Zweigle et al (2009), helps in modeling situations more efficiently. For choreography modeling and execution, we build on existing standards, such as BPMN and BPEL, which allows for a more stable and futureproof system.…”

Section: Discussionmentioning

confidence: 99%

“…This section introduces previous work regarding Situation Templates and Choreographies as well as other foundations required for understanding the concepts presented in this paper. Zweigle et al (2009) and Häussermann et al (2010) introduced Situation Templates as a way to model situations based on context data, which, for instance, may originate from sensors producing signal outputs. Situation Templates are based on so-called Situation Aggregation Trees and follow a tree structure with a single root node, which represents the situation.…”

Section: Foundations and Previous Workmentioning

confidence: 99%

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Situation-aware adaptation of choreographies—The DiStOPT approach

Hirmer

Breitenbücher²,

Gaudio³

et al. 2022

Front. Internet Things

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The rise of the IoT and Industry 4.0 has increased the complexity of collaborating business processes, i. e., choreographies, as more partners and assets are involved. However, maintaining and executing business choreographies are complex tasks. Moreover, enabling robust and reliable execution is important, as failures or delays cause high costs among partners. For example, manufacturing companies usually depend on different suppliers, and it is crucial to be up-to-date about possible delays in shipments as this leads to delays in the manufacturing of their products. In this case, a choreography needs to be designed and operated in a way that it can adapt to cope with such problems. This requires i) timely recognition and tamper-resistent logging of problems that occur at each involved partner, which are referred to as situations in the scope of this article, and ii) an approach for a timely adaptation of choreographies based on occurring situations. Therefore, in this article, we introduce DiStOPT, an approach to i) model and recognize situations in a distributed and timely manner, and ii) model and execute situation-aware choreographies based on the recognized situations. The contributions are evaluated in a manufacturing scenario and validated by a prototypical implementation.

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Section: Discussionmentioning

confidence: 99%

Section: Foundations and Previous Workmentioning

confidence: 99%

Situation-aware adaptation of choreographies—The DiStOPT approach

Hirmer

Breitenbücher²,

Gaudio³

et al. 2022

Front. Internet Things

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“…To enable domain-specific modeling, we introduce Mashup Plans that are related to the Pipes and Filters (Meunier, 1995) pattern and contain descriptions of the data sources to be integrated as well as an arbitrary number of Data Processing Descriptions, abstracting from fine-grained data operations. Similar to existing work, e.g., of Zweigle et al (Zweigle et al, 2009), a Mashup Plan is a directed, cohesive flow graph containing nodes and edges. A node in the Mashup Plan is either a DSD or a DPD and the edges connecting these nodes describe the data and control flow.…”

Section: Mashup Plansmentioning

confidence: 99%

Extended Techniques for Flexible Modeling and Execution of Data Mashups

Hirmer

Reimann

Wieland

et al. 2015

Proceedings of 4th International Conference on Data Management Technologies and Applications

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Today, a multitude of highly-connected applications and information systems hold, consume and produce huge amounts of heterogeneous data. The overall amount of data is even expected to dramatically increase in the future. In order to conduct, e.g., data analysis, visualizations or other value-adding scenarios, it is necessary to integrate specific, relevant parts of data into a common source. Due to oftentimes changing environments and dynamic requests, this integration has to support ad-hoc and flexible data processing capabilities. Furthermore, an iterative and explorative trial-and-error integration based on different data sources has to be possible. To cope with these requirements, several data mashup platforms have been developed in the past. However, existing solutions are mostly non-extensible, monolithic systems or applications with many limitations regarding the mentioned requirements. In this paper, we introduce an approach that copes with these issues (i) by the introduction of patterns to enable decoupling from implementation details, (ii) by a cloud-ready approach to enable availability and scalability, and (iii) by a high degree of flexibility and extensibility that enables the integration of heterogeneous data as well as dynamic (un-)tethering of data sources. We evaluate our approach using runtime measurements of our prototypical implementation.

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“…The idea is to offer a modeling environment for workflows including of situational events and situational scopes. Situational events mirror situational templates [79,80], which define a situation based Situation-Aggregation-Trees (SAT) [81]. Breitenbücher et al also outline runtime aspects: The workflow is then transformed to a standard-compliant workflow.…”

Section: Existing Work Related To Q2mentioning

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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Supervised learning algorithm for automatic adaption of situation templates using uncertain data

Cited by 9 publications

References 6 publications

Situation-aware adaptation of choreographies—The DiStOPT approach

Situation-aware adaptation of choreographies—The DiStOPT approach

Extended Techniques for Flexible Modeling and Execution of Data Mashups

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

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