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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

Efficient Synchronization of State-based CRDTs

Autores
Enes, V; Almeida, PS; Baquero, C; Leitao, J;

Publicação
2019 IEEE 35TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE 2019)

Abstract
To ensure high availability in large scale distributed systems, Conflict-free Replicated Data Types (CRDTs) relax consistency by allowing immediate query and update operations at the local replica, with no need for remote synchronization. State-based CRDTs synchronize replicas by periodically sending their full state to other replicas, which can become extremely costly as the CRDT state grows. Delta-based CRDTs address this problem by producing small incremental states (deltas) to be used in synchronization instead of the full state. However, current synchronization algorithms for delta-based CRDTs induce redundant wasteful delta propagation, performing worse than expected, and surprisingly, no better than state-based. In this paper we: 1) identify two sources of inefficiency in current synchronization algorithms for delta-based CRDTs; 2) bring the concept of join decomposition to state-based CRDTs; 3) exploit join decompositions to obtain optimal deltas and 4) improve the efficiency of synchronization algorithms; and finally, 5) experimentally evaluate the improved algorithms.

2019

Memoized zipper-based attribute grammars and their higher order extension

Autores
Fernandes, JP; Martins, P; Pardo, A; Saraiva, J; Viera, M;

Publicação
SCIENCE OF COMPUTER PROGRAMMING

Abstract
Attribute grammars are a powerfull, well-known formalism to implement and reason about programs which, by design, are conveniently modular. In this work we focus on a state of the art zipper-based embedding of classic attribute grammars and higher-order attribute grammars. We improve their execution performance through controlling attribute (re)evaluation by means of memoization techniques. We present the results of our optimizations by comparing their impact in various implementations of different, well-studied, attribute grammars and their Higher-Order extensions.

2019

Towards using Memoization for Saving Energy in Android

Autores
Rua, R; Couto, M; Pinto, A; Cunha, J; Saraiva, J;

Publicação
Proceedings of the XXII Iberoamerican Conference on Software Engineering, CIbSE 2019, La Habana, Cuba, April 22-26, 2019.

Abstract
Over the last few years, the interest in the analysis of the energy consumption of Android applications has been increasing significantly. Indeed, there are a considerable number of studies which aim at analyzing the energy consumption in the Android ecosystem, such as measuring/estimating the energy consumed by an application or block of code, or even detecting energy expensive coding patterns or APIs. In this paper, we present an initial study of the impact of memoization in the energy consumption of Android applications. We compare implementations of 18 methods from different applications, with and without using memoization, and measure the energy consumption of both of them. The results show that using memoization can be a good approach for saving energy, since 13 of those methods decreased their energy consumption.

2019

GreenSource: a large-scale collection of Android code, tests and energy metrics

Autores
Rua, R; Couto, M; Saraiva, J;

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

Abstract
This paper presents the GreenSource infrastructure: a large body of open source code, executable Android applications, and curated dataset containing energy code metrics. The dataset contains energy metrics obtained by both static analysing the applications' source code and by executing them with available test inputs. To automate the execution of the applications we developed the AnaDroid tool which instruments its code, compiles and executes it with test inputs in any Android device, while collecting energy metrics. GreenSource includes all Android applications included in the MUSE Java source code repository, while AnaDroid implements all Android's energy greedy features described in the literature, GreenSource aims at characterizing energy consumption in the Android ecosystem, providing both Android developers and researchers a setting to reason about energy efficient Android software development. © 2019 IEEE.

2019

Get Your Spreadsheets Under (Version) Control

Autores
Macedo, JN; Moreira, R; Cunha, J; Saraiva, J;

Publicação
Proceedings of the XXII Iberoamerican Conference on Software Engineering, CIbSE 2019, La Habana, Cuba, April 22-26, 2019.

Abstract
Spreadsheets play a pivotal role in many organizations. They serve to store and manipulate data or forecasting, and they are often used to help in the decision process, thus directly impacting the success, or not, of organizations. As the research community already realized, spreadsheets tend to have the same problems “professional” software contain. Thus, in the past decade many software engineering techniques have been successfully proposed to aid spreadsheet developers and users. However, one of the most used mechanisms to manage software projects is still lacking in spreadsheets: a version control system. A version control system allows for collaborative development, while also allowing individual developers to explore different alternatives without compromising the main project. In this paper we present a version control system, named SheetGit, oriented for end-user programmers. It allows to graphically visualize the history of versions (including branches), to switch between different versions just by pointing and clicking, and to visualize the differences between any two versions in an animated way. To validate our approach/tool we performed an empirical evaluation which shows evidence that SheetGit can aid users when compared to other tools.

Factos & Números

1Contratados de I&D

2020

0Capítulos de livros

2020

16Docentes do Ensino Superior

2020

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