Workflow Model Distribution or Code Distribution? Ideal Approach for Service Composition of the Internet of Things

Mass, Jakob; Chang, Chii; Srirama, Satish Narayana

doi:10.1109/scc.2016.90

Cited by 5 publications

(6 citation statements)

References 9 publications

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“…Mass et al [22] presented a comparison between two business process workflow execution approaches-an embedded workflow engine and a coding program representing the workflow. They conclude that executing business processes on a workflow engine cannot be justified in cases where system resources are sparse, and the model is not reused.…”

Section: A Modeling Business Processesmentioning

confidence: 99%

Dynamic Multilevel Workflow Management Concept for Industrial IoT Systems

Kozma

Varga

Larrinaga

2021

IEEE Trans. Automat. Sci. Eng.

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Workflow management is implemented in manufacturing at many levels. The nature of processes varies at each level, hindering the use of a standard modeling or implementation solution. The creation of a flexible workflow management framework that overarches the heterogeneous business process levels is challenging. Still, one of the promises of the Industry 4.0 initiative is precisely this: to provide easy-to-use models and solutions that enable efficient execution of enterprise targets. By addressing this challenge, this article proposes a workflow execution model that integrates information and control flows of these levels while keeping their hierarchy. The overall model builds on the business process model and notation (BPMN) for modeling at the enterprise level and recipe modeling based on colored Petri net (CPN) at the production level. Models produced with both alternatives are implemented and executed in a framework supported by an enterprise service bus (ESB). Loosely coupled, late-bound system elements are connected through the Arrowhead framework, which is built upon the Service-Oriented Architecture (SOA) concept. To prove its feasibility, this article presents the practical application of the model via an automotive production scenario.Note to Practitioners-The methodology detailed in this article can serve as a basis for experts who are dealing with industrial workflows. Reacting to the requirements of Industry 4.0, i.e., the virtualization, decentralization, modularity, real-time capability, and service orientation, this article provides a concept that can answer all the defined criteria. First, it adopts a new two-level approach to workflow management, which makes the understanding and control of workflows easier, enhancing transparency. Furthermore, it demonstrates how-even completely different-applications and modeling languages can be integrated into a Service-Oriented Architecture (SOA). The presented com-Manuscript

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Section: A Modeling Business Processesmentioning

confidence: 99%

Dynamic Multilevel Workflow Management Concept for Industrial IoT Systems

Kozma

Varga

Larrinaga

2021

IEEE Trans. Automat. Sci. Eng.

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“…Operation invocations happen regardless of the workflow kind. Workflows are increasingly important for IoT systems because they allow the integration of IoT services into complex tasks that automate a specific context [84,85,86,87,88]. For example, a smart home can be automated with a workflow that regulates the temperature of a room according to environmental changes.…”

Section: Iot Service Composition Revisitedmentioning

confidence: 99%

“…An orchestration is typically defined using a workflow language such as BPEL [70,81,230,231,232,233,234,235] or BPMN [86,236]. The resulting workflow has tasks for passing control among services according to explicit control flow constructs (for sequencing, parallelising, branching and looping) [71].…”

Section: Orchestrationmentioning

confidence: 99%

“…An orchestration engine is responsible for executing a workflow process by invoking service operations in a given order. Although traditional engines can be used (e.g., Camunda BPM workflow engine [86,237], Activiti [238,239] and AWS Step Functions [151]), recently we have seen the emergence of orchestration engines particularly designed for IoT systems (e.g., PROtEUS [149] and [150]). 6 Figure 15(a) illustrates a centralised orchestration for the services A, B, C and D, where the coordinator Orch1 defines a "composite service" for the sequential invocation of .…”

Section: Orchestrationmentioning

confidence: 99%

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Evaluating IoT service composition mechanisms for the scalability of IoT systems

Arellanes

Lau

2020

Future Generation Computer Systems

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The Internet of Things (IoT) is an emerging paradigm where practically every (physical and virtual) thing will be interconnected through innovative distributed services. Since the number of connected things is rapidly growing, IoT systems will require the composition of plenty of services into complex workflows. Thus, scalability in terms of the size of IoT systems becomes a significant concern. In this paper, we review and evaluate the fundamental semantics of existing IoT service composition mechanisms to determine how well they fulfil the scalability requirements of IoT systems. We identify scalability desiderata and, accordingly, our findings show that dataflows, orchestration and choreography do not fully satisfy such desiderata, unlike a novel composition mechanism called DX-MAN.

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“…This way, web services are the glue between IoT and business processes, as model languages already support their usage. In addition, more recent approaches take a step forward by supporting IoT behavior definition within the business process [19], [20].…”

Section: Introductionmentioning

confidence: 99%

Using BPMN to model Internet of Things behavior within business process

Domingos

Martins

2022

IJISPM

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Whereas, traditionally, business processes use the Internet of Things (IoTs) as a distributed source of information, the increase of computational capabilities of IoT devices provides them with the means to also execute parts of the business logic, reducing the amount of exchanged data and central processing. Current approaches based on Business Process Model and Notation (BPMN) already support modelers to define both business processes and IoT devices behavior at the same level of abstraction. However, they are not restricted to standard BPMN elements and they generate IoT device specific low-level code. The work we present in this paper exclusivelly uses standard BPMN to define central as well as IoT behavior of business processes. In addition, the BPMN that defines the IoT behavior is translated to a neutral-platform programming code. The deployment and execution environments use Web services to support the communication between the process execution engine and IoT devices.

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Workflow Model Distribution or Code Distribution? Ideal Approach for Service Composition of the Internet of Things

Cited by 5 publications

References 9 publications

Dynamic Multilevel Workflow Management Concept for Industrial IoT Systems

Dynamic Multilevel Workflow Management Concept for Industrial IoT Systems

Evaluating IoT service composition mechanisms for the scalability of IoT systems

Using BPMN to model Internet of Things behavior within business process

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