Extending BPMN 2.0 with Sensor and Smart Device Business Functions

Gao, Feng; Zaremba, Maciej; Bhiri, Sami; Derguerch, Wassim

doi:10.1109/wetice.2011.50

Cited by 15 publications

(9 citation statements)

References 11 publications

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“…This search procedure resulted in a set of 39 articles, whose content were reviewed. Publications, focusing on early BPMN extensions that are now part of the language (e.g., [14]) or articles that did not provide any conceptual advices on their extension (e.g., [15], [16]), were discarded and a set of 30 articles remain for in-detail analysis that was conducted subsequently. Therefore, a multi-perspective analysis framework has been designed in order to facilitate a comparison of the identified extensions.…”

Section: Methodsmentioning

confidence: 99%

Classification of Domain-Specific BPMN Extensions

Braun

Esswein

2014

Lecture Notes in Business Information Processing

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International audienceBPMN is a standard for modeling business processes and provides meta model concepts for the design of extensions. Thus, domain-specific extensions of the BPMN are facilitated. This research article provides an overview of BPMN extension development by the descriptive analysis and classification of 30 BPMN extensions. An extensive literature review was conducted in order to find published extensions. Further, a classification framework was designed to enable a comprehensive analysis of each extension. The analysis showed, that four out of five extensions are not compliant with the BPMN standard. Also, we found several methodological shortcomings that should be tackled in further research

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Section: Methodsmentioning

confidence: 99%

Classification of Domain-Specific BPMN Extensions

Braun

Esswein

2014

Lecture Notes in Business Information Processing

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“…It is crucial to consider the network concepts when modeling an IoT‐aware BP application. As shown in Table 2, Gao et al 33 extended the BPMN 2.0 to consider the network of semantic sensors. Whilst, Sungur et al 27 proposed a set of BPMN 2.0 extensions to model the wireless sensor networks (WSNs).…”

Section: Related Workmentioning

confidence: 99%

“…Graja et al 13 extended the cloud resource by proposing compute, storage and database cost attributes. Gao et al 33 proposed a storage price attribute to calculate the usage storage service cost. Mostly existing modeling approaches only considered the costs of both virtual and physical resources (network, storage, and compute), whilst the IoT applications were deployed on the cloud environment (see Table 2).…”

Section: Related Workmentioning

confidence: 99%

IoT‐fog‐cloud based architecture for smart systems: Prototypes of autism and COVID‐19 monitoring systems

2020

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Making resources closer to the user might facilitate the integration of new technologies such as edge, fog, cloud computing, and big data. However, this brings many challenges shall be overridden when distributing a real-time stream processing, executing multiapplication in a safe multitenant environment, and orchestrating and managing the services and resources into a hybrid fog/cloud federation. In this article, first, we propose a business process model and notation (BPMN) extension to enable the Internet of Things (IoT)-aware business process (BP) modeling. The proposed extension takes into consideration the heterogeneous IoT and non-IoT resources, resource capacities, quality of service constraints, and so forth. Second, we present a new IoT-fog-cloud based architecture, which (i) supports the distributed inter and intralayer communication as well as the real-time stream processing in order to treat immediately IoT data and improve the entire system reliability, (ii) enables the multiapplication execution within a multitenancy architecture using the single sign-on technique to guarantee the data integrity within a multitenancy environment, and (iii) relies on the orchestration and federation management services for deploying BP into the appropriate fog and/or cloud resources. Third, we model, by using the proposed BPMN 2.0 extension, smart autistic child and coronavirus disease 2019 monitoring systems. Then we propose the prototypes for these two smart systems in order to carry out a set of extensive experiments illustrating the efficiency and effectiveness of our work. K E Y W O R D S business process modeling, cloud computing, fog computing, hybrid fog/cloud federation, IoT, smart autistic child monitoring system, smart COVID-19 disease monitoring system 1 INTRODUCTION The Internet of Things (IoT) solutions serve to bring the sensors, devices, and objects online. In this why, it could support the integration of a new set of applications and systems for the development of a smart environment aiming at improving the quality of life and resources usage. Obviously, the IoT based application, such as smart manufacturers, smart cities, smart health, remote monitoring and control, and so forth, may have very massive and continuous data fuses. Moreover, they have different requirements and they need a latency-sensitive support, which a cloud cannot provide. Recently, fog Ameni Kallel, Molka Rekik, and Mahdi Khemakhem are equally contributed to this work.

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“…Gao et al 38 extended BPMN v2.0 with sensor and smart device business functions according to the function view of the architecture of information system (ARIS) ARIS architecture and Linked Data principle. They established links from the BPMN v2.0 tasks, subprocesses, and groups to their function view using the resource definition framework (RDF)-based business function model augmented with information from physical devices.…”

Section: Related Workmentioning

confidence: 99%

Process modeling and analysis of service-oriented architecture–based wireless sensor network applications using multiple-domain matrix

Lee

2016

International Journal of Distributed Sensor Networks

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The wireless sensor network represents distributed environment that consists of sensors and actuators to monitor and control real-world objects and devices. Web services and service-oriented architecture are fundamental elements to provide on-demand applications. The integration of business processes with wireless sensor network and serviceoriented architecture will result in a better alignment of enterprise applications. This article uses multiple-domain matrix extensions called the business process model and notation-multiple-domain matrix to analyze structures of and relations among processes modeled in the business process model and notation with wireless sensor network elements and services. By applying an organization-activity multiple-domain matrix partitioning algorithm, different organizations and coupled activities with cyclic relations are identified to provide process structure information in a matrix perspective, which promote business process analysis and optimization. The partitioning analysis results can be used to form an initial software architecture which includes subsystems or packages so that the architecture-centric software engineering practice can be applied to help the development of wireless sensor network applications. Two process examples of wireless sensor network applications were used and analyzed for illustration and validation purposes.

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Extending BPMN 2.0 with Sensor and Smart Device Business Functions

Cited by 15 publications

References 11 publications

Classification of Domain-Specific BPMN Extensions

Classification of Domain-Specific BPMN Extensions

IoT‐fog‐cloud based architecture for smart systems: Prototypes of autism and COVID‐19 monitoring systems

Process modeling and analysis of service-oriented architecture–based wireless sensor network applications using multiple-domain matrix

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