Skip to Main content Skip to Navigation
Theses

Modeling the internet of things in configurable process models

Abstract : On the one hand, a growing number of multi-national organizations have embraced the Process-Aware Information Systems (PAIS) to reap the benefits of using streamlined processes that are based on predefined models, also called as Business Process (BP) models. However, today's dynamic business environment demands flexibility and systematic reuse of BPs, which is provided by the use of Configurable Process Models (CPMs). It avoids the development of processes from scratch, which is both time-consuming and error-prone, and facilitates the sharing of a family of BP variants that can be customized based on concrete business requirements. On the other hand, the adoption of the Internet of Things (IoT) resources in various cross-organizational BPs is also on a rise. However, to attain the desired business value, these IoT resources must be used efficiently. These IoT devices are heterogeneous due to their diverse properties and manufactures (proprietary standards), which leads to issues related to interoperability. Further, being resource-constrained, they need to be allocated (and consumed) keeping in the mind relevant constraints such as energy cost, computation cost, to avoid failures during the time of their consumption in the processes. Thus, it is essential to explicitly model the IoT resource perspective in the BP models during the process design phase. In the literature, various research works in Business Process Management (BPM) domain are usually focused on the control-flow perspective. While there do exist some approaches that focus on the resource perspective, they are typically dedicated to the human resource perspective. Thus, there is limited work on integrating the IoT resource perspective into BPs, without any focus on solving issues related to heterogeneity in IoT domain. Likewise, in the context of CPMs, there is no configuration support to model IoT resource variability at the CPM level. This variability is a result of specific IoT resource features such as Shareability and Replication that is relevant in the context of BPs. In this thesis, we address the aforementioned limitations by proposing an approach to integrate IoT perspective in the BPM domain and to support the development of IoT-Aware CPMs. This work contributes in the following manner: (1) it provides a formal description of the IoT resource perspective and its relationships with the BPM domain using semantic technology and (2) it provides novel concepts to enable configurable IoT resource allocation in CPMs. To validate our approach and to show its feasibility, we do the following: (1) implement proof of concept tools that assist in the development of IoT-aware BPs and IoT-aware CPMs and (2) perform experiments on the process model datasets. The experimentation results show the effectiveness of our approach and affirm its feasibility
Document type :
Theses
Complete list of metadatas

Cited literature [160 references]  Display  Hide  Download

https://tel.archives-ouvertes.fr/tel-02059346
Contributor : Abes Star :  Contact
Submitted on : Wednesday, March 6, 2019 - 3:27:06 PM
Last modification on : Monday, August 24, 2020 - 4:16:12 PM
Long-term archiving on: : Friday, June 7, 2019 - 5:11:09 PM

File

these_SURI-Kunal_2019.pdf
Version validated by the jury (STAR)

Identifiers

  • HAL Id : tel-02059346, version 1

Citation

Kunal Suri. Modeling the internet of things in configurable process models. Modeling and Simulation. Université Paris-Saclay, 2019. English. ⟨NNT : 2019SACLL005⟩. ⟨tel-02059346⟩

Share

Metrics

Record views

597

Files downloads

1145