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Apresentação

Laboratório de Software Confiável

O HASLab dedica-se à criação e à implementação de sistemas de software confiável, i.e., software correto e resiliente perante falhas e ataques.

De forma a cumprir este grande objetivo, o HASLab opera em três grandes áreas - Cibersegurança, Sistemas Distribuídos e Engenharia de Software.

Engenharia de Software - são explorados métodos, técnicas e ferramentas para o desenvolvimento de software, podendo este ser integrado nas funcionalidades internas de determinados componentes, na sua configuração junto de outros componentes, e também na interação com o utilizador.

Sistemas Distribuídos - com vista a melhorar a confiabilidade e a escalabilidade de software, explorando as propriedades inerentes à distribuição e à replicação de sistemas computacionais.

Cibersegurança - de forma a minimizar a vulnerabilidade dos componentes de software a ataques, com recurso à implementação de estruturas e de protocolos criptográficos com propriedades de segurança formalmente comprovadas.

Através de uma abordagem multidisciplinar que assenta em princípios teóricos comprovados, o HASLab visa disponibilizar soluções - fundamentos teóricos, métodos, linguagens, ferramentas - para o desenvolvimento de sistemas TIC abrangentes, dando garantias aos seus proprietários e utilizadores. Os grandes domínios de aplicação da investigação desenvolvida no HASLab incluem o desenvolvimento de sistemas de software cruciais para garantir a segurança e a proteção, a operacionalização de infraestruturas da nuvem seguras, e a gestão e o tratamento de big data, tendo em conta as questões da privacidade.

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Projetos Selecionados

exaSIMPLE

exaSIMPLE: A Hybrid ML-CFD SIMPLE Algorithm for the Exascale Era

2024-2025

Saude24GB

Linha de Saúde 24h da Guiné-Bissau

2024-2024

EPICURE

High-level specialised application support service in High-Performance Computing (HPC)

2024-2028

TwinEU

Digital Twin for Europe

2024-2026

HANAMI

Hpc AlliaNce for Applications and supercoMputing Innovation: the Europe - Japan collaboration

2024-2026

ENSCOMP3

Ensino de Ciência da Computação nas Escolas 3

2023-2025

AzDIH

Azores Digital Innovation Hub on Tourism and Sustainability

2023-2025

PFAI4_4eD

Programa de Formação Avançada Industria 4 - 4a edição

2023-2023

ATE

Aliança para a Transição Energética

2023-2025

Green_Dat_AI

Energy-efficient AI-ready Data Spaces

2023-2025

EuroCC2

National Competence Centres in the framework of EuroHPC Phase 2

2023-2025

fMP

Formação de Introdução à utilização de recursos HPC (Técnicas básicas de Programação Paralela)

2022-2022

AURORA

Deteção de atividade no interior do veículo

2022-2023

NewSpacePortugal

Agenda New Space Portugal

2022-2025

ATTRACT_DIH

Digital Innovation Hub for Artificial Intelligence and High-Performance Computing

2022-2025

BeFlexible

Boosting engagement to increase flexibility

2022-2026

ENERSHARE

European commoN EneRgy dataSpace framework enabling data sHaring-driven Across- and beyond- eneRgy sErvices

2022-2025

Gridsoft

Parecer sobre a implementação de software para redes elétricas inteligentes

2022-2022

PFAI4_3ed

Programa de Formação Avançada Industria 4 - 3a edição

2022-2022

THEIA

Automated Perception Driving

2022-2023

SpecRep

Constraint-based Specification Repair

2022-2023

IBEX

Métodos quantitativos para a programação ciber-física: Uma abordagem precisa para racicionar sobre imprecisões na computação ciber-física

2022-2024

FLEXCOMM

Towards Energy-aware Communications: Connecting the power grid and communication infrastructure

2022-2023

STDCNCS

Desenvolvimento de estudo sobre a comunidade de cibersegurança em Portugal, no âmbito do Observatório de Cibersegurança

2021-2023

Sustainable HPC

Computação de elevado desempenho sustentável

2021-2025

CircThread

Building the Digital Thread for Circular Economy Product, Resource & Service Management

2021-2025

PassCert

Investigação do Impacto de Verificação Formal na Adopção de Software para Segurança de Passwords

2021-2022

IoT4Distribuicao

Análise de Requisitos e Especificação Funcional de uma Arquitetura Distribuída baseada em soluções IoT para a Gestão e Controlo da Rede de Distribuição

2021-2023

RISC2

A network for supporting the coordination of High-Performance Computing research between Europe and Latin America

2021-2023

CloudAnalytics4Dams

Gestão de Grandes Quantidades de Dados em Barragens da EDP Produção

2021-2021

PAStor

Programmable and Adaptable Storage for AI-oriented HPC Ecosystems

2020-2021

PFAI4.0

Programa de Formação Avançada Industria 4.0

2020-2021

Collaboration

Collaborative Visual Development

2020-2021

AIDA

Adaptive, Intelligent and Distributed Assurance Platform

2020-2023

BigHPC

A Management Framework for Consolidated Big Data and HPC

2020-2023

SLSNA

Prestação de Serviços no ambito do projeto SKORR

2020-2021

AppOwl

Deteção de Mutações Maliciosas no Browser

2020-2021

InterConnect

Interoperable Solutions Connecting Smart Homes, Buildings and Grids

2019-2024

T4CDTKC

Training 4 Cotec, Digital Transformation Knowledge Challenge - Elaboração de Programa de Formação “CONHECER E COMPREENDER O DESAFIO DAS TECNOLOGIAS DE TRANSFORMAÇÃO DIGITAL”

2019-2021

CLOUD4CANDY

Cloud for CANDY

2019-2019

HADES

Sistemas descentralizados confiáveis e escaláveis suportados por hardware

2018-2022

MaLPIS

Aprendizagem Automática para Deteção de Ataques e Identificação de Perfis Segurança na Internet

2018-2022

SKORR

Advancing the Frontier of Social Media Management Tools

2018-2021

DaVinci

Architecturas distribuídas: variabilidade e interação de sistemas ciber-físicos

2018-2022

SAFER

Verificação de segurança para software robótico

2018-2021

KLEE

Modelação coalgébrica e análise para biologia sintética computacional

2018-2021

InteGrid

Demonstration of INTElligent grid technologies for renewables INTEgration and INTEractive consumer participation enabling INTEroperable market solutions and INTErconnected stakeholders

2017-2020

Lightkone

Lightweight Computation for Networks at the Edge

2017-2019

CloudDBAppliance

European Cloud In-Memory Database Appliance with Predictable Performance for Critical Applications

2016-2019

GSL

GreenSoftwareLab: Computação Verde como uma Disciplina de Engenharia

2016-2019

Cloud-Setup

PLATAFORMA DE PREPARAÇÃO DE CONTEÚDOS AUDIOVISUAIS PARA INGEST NA CLOUD

2016-2019

CORAL-TOOLS

CORAL - Sustainable Ocean Exploitation: Tools and Sensors

2016-2018

SafeCloud

Secure and Resilient Cloud Architecture

2015-2018

NanoStima-RL1

NanoSTIMA - Macro-to-Nano Human Sensing Technologies

2015-2019

NanoStima-RL3

NanoSTIMA - Health data infrastructure

2015-2019

SMILES

TEC4Growth - RL SMILES - Smart, Mobile, Intelligent and Large scale Sensing and analytics

2015-2019

UPGRID

Real proven solutions to enable active demand and distributed generation flexible integration, through a fully controllable LOW Voltage and medium voltage distribution grid

2015-2017

LeanBigData

Análise Integrada e Visual de Big Data Ultra-escalável e Ultra-eficiente

2014-2017

Practice

Ferramentas de Preservação de Privacidade na Cloud

2013-2016

CoherentPaaS

PaaS Rica e Coerente com um Modelo de Programação Comum

2013-2016

Equipa
001

Laboratório

CLOUDinha

Publicações

HASLab Publicações

Ler todas as publicações

2019

Coordination of Tasks on a Real-Time OS

Autores
Cledou, G; Proenca, J; Sputh, BHC; Verhulst, E;

Publicação
COORDINATION MODELS AND LANGUAGES, COORDINATION 2019

Abstract
VirtuosoNext (TM) is a distributed real-time operating system (RTOS) featuring a generic programming model dubbed Interacting Entities. This paper focuses on these interactions, implemented as so-called Hubs. Hubs act as synchronisation and communication mechanisms between the application tasks and implement the services provided by the kernel as a kind of Guarded Protected Action with a well defined semantics. While the kernel provides the most basic services, each carefully designed, tested and optimised, tasks are limited to this handful of basic hubs, leaving the development of more complex synchronization and communication mechanisms up to application specific implementations. In this work we investigate how to support a programming paradigm to compositionally build new services, using notions borrowed from the Reo coordination language, and relieving tasks from coordination aspects while delegating them to the hubs. We formalise the semantics of hubs using an automata model, identify the behaviour of existing hubs, and propose an approach to build new hubs by composing simpler ones. We also provide tools and methods to analyse and simplify hubs under our automata interpretation. In a first experiment several hub interactions are combined into a single more complex hub, which raises the level of abstraction and contributes to a higher productivity for the programmer. Finally, we investigate the impact on the performance by comparing different implementations on an embedded board.

2019

Proceedings Fifth Workshop on Formal Integrated Development Environment, F-IDE@FM 2019, Porto, Portugal, 7th October 2019

Autores
Monahan, R; Prevosto, V; Proença, J;

Publicação
F-IDE@FM

Abstract

2019

Preface

Autores
Monahan, R; Prevosto, V; Proença, J;

Publicação
Electronic Proceedings in Theoretical Computer Science, EPTCS

Abstract

2019

GreenHub farmer: real-world data for Android energy mining

Autores
Matalonga, H; Cabral, B; Castor, F; Couto, M; Pereira, R; de Sousa, SM; Fernandes, JP;

Publicação
Proceedings of the 16th International Conference on Mining Software Repositories, MSR 2019, 26-27 May 2019, Montreal, Canada.

Abstract
As mobile devices are supporting more and more of our daily activities, it is vital to widen their battery up-time as much as possible. In fact, according to the Wall Street Journal, 9/10 users suffer from low battery anxiety. The goal of our work is to understand how Android usage, apps, operating systems, hardware and user habits influence battery lifespan. Our strategy is to collect anonymous raw data from devices all over the world, through a mobile app, build and analyze a large-scale dataset containing real-world, day-to-day data, representative of user practices. So far, the dataset we collected includes 12 million+ (anonymous) data samples, across 900+ device brands and 5.000+ models. And, it keeps growing. The data we collect, which is publicly available and by different channels, is sufficiently heterogeneous for supporting studies with a wide range of focuses and research goals, thus opening the opportunity to inform and reshape user habits, and even influence the development of both hardware and software for mobile devices. © 2019 IEEE.

2019

Concurrency Debugging with MaxSMT

Autores
Terra Neves, M; Machado, N; Lynce, I; Manquinho, V;

Publicação
THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

Abstract
Current Maximum Satisfiability (MaxSAT) algorithms based on successive calls to a powerful Satisfiability (SAT) solver are now able to solve real-world instances in many application domains. Moreover, replacing the SAT solver with a Satisfiability Modulo Theories (SMT) solver enables effective MaxSMT algorithms. However, MaxSMT has seldom been used in debugging multi-threaded software. Multi-threaded programs are usually non-deterministic due to the huge number of possible thread operation schedules, which makes them much harder to debug than sequential programs. A recent approach to isolate the root cause of concurrency bugs in multi-threaded software is to produce a report that shows the differences between a failing and a non-failing execution. However, since they rely solely on heuristics, these reports can be unnecessarily large. Hence, reports may contain operations that are not relevant to the bug's occurrence. This paper proposes the use of MaxSMT for the generation of minimal reports for multi-threaded software with concurrency bugs. The proposed techniques report situations that the existing techniques are not able to identify. Experimental results show that using MaxSMT can significantly improve the accuracy of the generated reports and, consequently, their usefulness in debugging the root cause of concurrency bugs.

Factos & Números

21Investigadores Séniores

2016

0Capítulos de livros

2020

68Investigadores

2016

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