DIEA-Artículos

URI permanente para esta colecciónhttps://hdl.handle.net/10953/234

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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, Oskar
Context-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.
A Methodological Approach for Integrating Physical Assets in Industry 4.0
(IEEE, 2023-09) López-García, Alejandro; Estévez-Estévez, Elisabet; Casquero, Oskar; Marcos, Marga
The paradigm of the fourth industrial revolution poses the combined use of technologies that provide companies with adaptability to face uncertain market scenarios. Different institutions have presented their reference architectures to apply principles of the fourth industrial revolution in a standardized way, being the German proposal Industry 4.0 (I4.0) the most widespread. Nowadays most companies are still in the computerization and digitalization phases prior to being able to connect to I4.0. This situation highlights the need for solutions for the integration of physical assets in I4.0. However, most of the work in this area focuses on ad-hoc solutions, or at least technology-dependent ones. This article presents a multilayer approach for integrating physical assets in I4.0. The goal is to separate the different concerns related to the integration of physical assets into abstract layers. This approach allows addressing these concerns in a generic way, regardless of the type of asset and/or the technology used, as well as efficient, since it addresses each concern separately. This approach is complemented by a methodology that provides guidelines for integrating physical assets according to the multilayer approach. The applicability of the multilayer approach and the integration methodology is put to the test by integrating a roboticarm.
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, Marga
The 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.
Enabling DevOps for Fog Applications in the Smart Manufacturing domain: an MDE-based Platform Engineering approach
(Elsevier, 2024-08) Cuadra, Julen; Hurtado, Ekaitz; Sarachaga, Isabel; Estévez, Elisabet; Casquero, Oskar
Cloud Computing is revolutionizing smart manufacturing by offering on-demand and scalable computer systems that facilitate plant data analysis and operational efficiency optimization. DevOps is a methodology, widely used for developing Cloud Computing systems, that streamlines software development by improving its integration, delivery, and deployment. Although cloud application designers within a DevOps team are assumed to have development and operational knowledge, this does not fall within the skills of experts that design analytics applications of plant data. The deployment environment is also relevant since, as such applications are often hosted in the Fog, the proliferation of application components may hinder their composition and validation. This work is aimed at embracing the Platform Engineering approach to provide a tailored toolkit that guides the design and development of OpenFog compliant applications for the experts in the Smart Manufacturing domain. The platform uses Model Driven Engineering techniques and a flow-based visual editor to allow application designers to graphically compose applications from components previously delivered by component developers, abstracting them from the underlying technologies. As a result, containerized applications, ready to be deployed and run by a container orchestrator, are obtained. The feasibility of the proposal is proved through an industrial case study.

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Examinando DIEA-Artículos por Autor "Casquero, Oskar"