Detalhes
Nome
António Manuel BarrosCargo
Investigador SéniorDesde
14 dezembro 2022
Nacionalidade
PortugalCentro
Computação Centrada no Humano e Ciência da InformaçãoContactos
+351222094000
antonio.m.barros@inesctec.pt
2022
Autores
Sousa, R; Pinho, LM; Barros, A; Gonzalez Hierro, M; Zubia, C; Sabate, E; Kartsakli, E;
Publicação
Ada User Journal
Abstract
The ELASTIC European project addresses the emergence of extreme-scale analytics, providing a software architecture with a new elasticity concept, intended to support smart cyber-physical systems with performance requirements from extreme-scale analytics workloads. One of the main challenges being tackled by ELASTIC is the necessity to simultaneously fulfil the non-functional properties inherited from smart systems, such as real-time, energy efficiency, communication quality or security. This paper presents how the ELASTIC architecture monitors and manages such non-functional requirements, working in close collaboration with the component responsible for the orchestration of elasticity. © 2022, Ada-Europe. All rights reserved.
2022
Autores
Gomes, R; Carvalho, T; Barros, A; Pinho, LM;
Publicação
5th IEEE International Conference on Industrial Cyber-Physical Systems, ICPS 2022, Coventry, United Kingdom, May 24-26, 2022
Abstract
The automotive software industry is gradually introducing new functionalities and technologies that increase the efficiency, safety, and comfort of vehicles. These functionalities are quickly accepted by consumers; however, the consequences of this evolution are twofold. First, developing correct systems that integrate more applications and hardware is becoming more complex. To cope with this, new standards (such as Adaptive AUTOSAR) and frameworks (such as AMALTHEA) are being proposed, to assist the development of flexible systems based on high-performance electronic control units (ECU). Second, the increase of functionality is supported by a dramatic increase of electronic parts on automotive systems. Consequently, the impact of software on the electrical power and energy non-functional requirements of automotive systems has come under focus. In this paper we propose an automatic and self-contained approach that supplements a model of an automotive system described on the AMALTHEA platform with energy-related annotations. From the analysis of simulation (or execution) traces of the modelled software, we estimate the power consumption for each software component, on a target hardware platform. This method enables energy analysis during the entire development life-cycle; furthermore, it contributes for the development of energy management strategies for dynamic and self-adaptive systems. © 2022 IEEE.
2020
Autores
Nogueira, L; Barros, A; Zubia, C; Faura, D; Gracia Pérez, D; Miguel Pinho, L;
Publicação
ACM SIGAda Ada Letters
Abstract
2018
Autores
Barros, A;
Publicação
Abstract
2017
Autores
Barbosa, P; Barros, A; Pinho, LM;
Publicação
IECON 2017 - 43RD ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY
Abstract
More and more cyber-physical systems and the internet of things push for a multitude of devices and systems, which need to work together to provide the services as required by the users. Nevertheless, the speed of development and the heterogeneity of devices introduces considerable challenges in the development of such systems. This paper describes a solution being implemented in the setting of a serious game scenario, connected to real homes energy consumption. The solution provides a publish-subscribe middleware which is able to seamlessly connect all the components of the system.
Teses supervisionadas
2023
Autor
JORGE MANUEL E SILVA
Instituição
IPP-ISEP
2022
Autor
PATRICK SEMEDO TIMAS
Instituição
IPP-ISEP
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