Business process assignment and execution in mobile environments

Peng, Tao; Chi, Chi‐Hung; Chiasera, Annamaria; Armellin, Giampaolo; Ronchetti, Marco; Matteotti, Cristina; Parra, Cristhian; Kashytsa, Aleksey Oleksiy; Varalta, Alessio

doi:10.1109/cts.2014.6867574

Cited by 7 publications

(1 citation statement)

References 17 publications

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“…Others use existing process engines for model interpretation, while resorting to code generation for the concepts not supported by the process engine [14]. Another approach is to avoid code generation and to extend an existing process engine to support the newly introduced constructs [15], or to develop an entirely new custom process engine [16].…”

Section: Iot Business Processesmentioning

confidence: 99%

Executing IoT Processes in BPMN 2.0: Current Support and Remaining Challenges

Hasić

Serral

2019

2019 13th International Conference on Research Challenges in Information Science (RCIS)

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The Internet of Things (IoT) has seen a vast surge in recent years, both in academia and in industry. Business processes are starting to take advantage of IoT to interact with the increasingly connected and dynamic physical environment. Recent literature has focused on analysing how this interaction between processes and IoT devices can be modelled, i.e. how the process can be described for discussion purposes. However, little attention is given to configuring the execution of these IoT-based processes. IoT-enhanced processes should indeed be able to incorporate IoT devices in the endeavour of process execution. This paper discusses research challenges in IoT process configuration and execution using the executable Business Process Model and Notation 2.0 (BPMN 2.0) standard. As such, we constitute an agenda for future research.

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Section: Iot Business Processesmentioning

confidence: 99%

Executing IoT Processes in BPMN 2.0: Current Support and Remaining Challenges

Hasić

Serral

2019

2019 13th International Conference on Research Challenges in Information Science (RCIS)

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A DFA‐based approach for the deployment of BPaaS fragments in the cloud

Hedhli¹,

Mezni

2018

Concurrency and Computation

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SummaryCloud computing is an emerging technology that is largely adopted by the current computing industry. With the growing number of Cloud services, Cloud providers' main focus is how to best offer efficient services (eg, SaaS, BPaaS, mobile services, etc) in order to hook the eventual customers. To meet this goal, services arrangement and placement in the cloud is becoming a serious problem because an optimal placement of these applications and their related data in accordance with the available resources can increase companies' benefits. Since there is a widespread deployment of business processes in the cloud, the hereinafter conducted research works aim to enhance the business processes' outsourcing by providing an optimized placement scheme that would attract cloud customers. In the light of these facts, the purpose of this paper is to deal with the BPaaS placement problem while optimizing both the total execution time and cloud resources' usage. To do so, we first determine the redundant BPaaS fragments using a DNA Fragment Assembly technique. We apply a variant of the Genetic Algorithm to resolve it. Then, we propose a placement algorithm, which produces an optimized placement scheme on the basis of the determined fragments relations. We follow that by an implementation of the whole placement process and a set of experimental results that have shown the feasibility and efficiency of the proposed approach.

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