This article describes how the Internet of Things (IoT) and its smart objects will be the fundamental building blocks for the creation of smart pervasive systems. Precision Agriculture can be defined as the use of information, communications technologies and electronic devices in agricultural practice, to improve agricultural production. This article addresses the problem of modelling Precision Agriculture systems. The authors propose an Agent-based approach for an effective integration of the IoT technology in Agricultural Enterprise systems. The proposed approach is based on Agent Interaction Protocols (AiP) through which they specify complex services of the system by recognizing larger chunks that have a meaning in the application domain. The AiP supports the modelling of composite services as entities whose business logic involves a number of interactions among more elementary service components. The authors present an agent-based system architecture whose main goal is to address interoperability issues between heterogeneous IoT-based services by offering a harmonized API.

Purpose Business Process Model and Notation (BPMN) is a generic language that is often extended by researchers, either for dealing with processes of specific domains or for improving the language itself. The purpose of this paper is to present a literature review that aims to determine the current state of the art of BPMN extensions and identify the gaps that should be filled in this research area. Design/methodology/approach For a comprehensive and effective analysis, a systematic literature review was conducted. After the collection and filtering of papers, 52 extensions were retained to be thoroughly examined and compared according to a set of criteria including objective, targeted domain, conformity to the extension mechanism, demonstration, implementation, etc. Findings The representation of the results in the form of tables and graphs allowed the authors to deduce several positive points on the extensions as their demonstration through concrete examples. On the other hand, the authors have observed several shortcomings and suggested recommendations for addressing them. Originality/value To the best of the authors’ knowledge, the literature review is the only one that evaluates and compares all BPMN extensions over the last four years, based on several criteria covering different aspects. Furthermore, the authors were able to verify the conformity of extensions as they were published after the introduction of the BPMN extension mechanism by the Object Management Group.

<p class="0abstract"><span lang="EN-US">This work presents an Internet of Things (IoT) solution to facilitate real time water quality monitoring by enabling the management of collected data from electronic sensors. Firstly, we present in detail problems encountered during the used data collection process. We discuss after the requirements from the water monitoring quality standpoint, data acquisition, cloud processing and data visualization to the end user. We designed a solution to minimize technicians’ visits to isolated water tower, we designed sensors achieving a lifespan of several years. The solution will be capable of scaling the processing and storage resources. This combination of technologies can cope with different types of environments. The system also provides a notification to a remote user, when there is a non-conformity of water quality parameters with the pre-defined set of standard values.</span></p>

This paper presents a new approach for Business Process Integration based on Interaction Protocols. It enables both integration and collaboration of autonomous and distributed business processes modules. We present a semantic formalisation of the interaction protocols notations used in our approach. The semantics and its application are described on the basis of translation rules to Coloured Petri Nets and the benefits of formalisation are shown. The verified and validated interaction protocols specification is exploited afterwards with an intermediate agent called « Integrator Agent » to enact the integration process and to manage it efficiently in all steps of composition and monitoring.

The business process outsourcing (BPO) remains among the most adopted strategies by organizations to cope with the harsh competition of today's market. This practice has been intensified with the advent of the Cloud computing that has attracted companies by its new way of consuming and paying for resources. Nevertheless, the exposure of business processes (BPs) to Cloud-related threats and non-compliance risks as well as the diversity of Cloud offers in terms of price and quality are ones of the biggest obstacles in BPO to the Cloud. The organizations should therefore examine different factors to determine which BP parts to outsource and to assign them the most suitable Cloud offers. This article proposes a decision-making support called DMS4BPO that helps organizations in outsourcing their BPs to the Cloud by considering security, compliance, cost and performance criteria. DMS4BPO includes on the one hand an AHP-based method for the Cloud offer selection, and on the other hand, a Business Intelligence-based method for the exploitation of the execution history.