Examinando por Autor "Armentia, Aintzane"
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Ítem A Customizable Architecture for Application-Centric Management of Context-Aware Applications(IEEE, 2022-01) Gangoiti, Unai; López-García, Alejandro; Armentia, Aintzane; Estévez-Estévez, Elisabet; Marcos, Marga; Casquero, OskarContext-aware applications present common requirements (e.g., heterogeneity, scalability, adaptability, availability) in a variety of domains (e.g., healthcare, natural disaster prevention, smart factories). Besides, they do also present domain specific requirements, among which the application concept itself is included. Therefore, a platform in charge of managing their execution must be generic enough to cover common requirements, but it must also be adaptable enough to consider the domain aspects to meet the demands at application-level. Several approaches in the literature tackle some of these demands, but not all of them, and without considering the applications concept and the customization demands in different domains. This work proposes a generic and customizable management architecture that covers both types of requirements based on multi-agent technology and model-driven development. Multi-agent technology is used to enable the distributed intelligence needed to address many common requirements, whereas model-driven development allows to address domain specific particularities. On top of that, a customization methodology to develop specific platforms from this generic architecture is also presented. This methodology is assessed by means of a case study in the domain of eHealthCare. Finally, the performance of MAS-RECON is compared with the most popular tool for the orchestration of containerized applications.Ítem An industrial agent-based customizable platform for I4.0 manufacturing systems(Elsevier, 2023-01) López-García, Alejandro; Casquero, Oskar; Estévez-Estévez, Elisabet; Armentia, Aintzane; Orive, Darío; Marcos, MargaThe fourth industrial revolution paradigm places value on the management of information related to the manufacturing process. Reference Architectural Model for Industrie 4.0 (RAMI 4.0), proposed by Plattform Industrie 4.0 (I4.0), provides a starting point for the development of I4.0 systems, based on: (1) international standards organized in a cubic model; (2) a set of key concepts to define the system participants, called I4.0 components; and (3) a list of infrastructure services required to manage I4.0 components and support them in the execution of manufacturing applications. However, the terms in which RAMI 4.0 is stated are generic and neutral from a technological point of view, without actually providing support for the practical development of concrete management platforms (I4.0 Platforms). This work contributes an I4.0 platform for the manufacturing domain that offers the infrastructure services required to manage an I4.0 system. The objective is to bring Industry 4.0 closer to companies, bridging the existing gap by providing a platform aligned with RAMI 4.0 which also offers tools and resources to facilitate the development of I4.0 components. To that end, this I4.0 platform is based on industrial agents, which have an inherent ability to negotiate and cooperate with each other and address the integration of assets. The applicability of the proposed I4.0 platform is evaluated by means of a testing scenario.Ítem Model-Driven Design and Development of Flexible Automated Production Control Configurations for Industry 4.0(MDPI, 2021-03) Gangoiti, Unai; López-García, Alejandro; Armentia, Aintzane; Estévez-Estévez, Elisabet; Marcos, MargaThe continuous changes of the market and customer demands have forced modern automation systems to provide stricter Quality of service (QoS) requirements. This work is centered in automation production system flexibility, understood as the ability to shift from one controller configuration to a different one, in the most quick and cost-effective way, without disrupting its normal operation. In the manufacturing field, this allows to deal with non-functional requirements such as assuring control system availability or workload balancing, even in the case of failure of a machine, components, network or controllers. Concretely, this work focuses on flexible applications at production level, using Programmable Logic Controllers (PLCs) as primary controllers. The reconfiguration of the control system is not always possible as it depends on the process state. Thus, an analysis of the system state is necessary to make a decision. In this sense, architectures based on industrial Multi Agent Systems (MAS) have been used to provide this support at runtime. Additionally, the introduction of these mechanisms makes the design and the implementation of the control system more complex. This work aims at supporting the design and development of such flexible automation production systems, through the proposed model-based framework. The framework consists of a set of tools that, based on models, automate the generation of control code extensions that add flexibility to the automation production system, according to industry 4.0 paradigm.