Cookies Policy
We use cookies to improve our site and your experience. By continuing to browse our site you accept our cookie policy. Find out More
Close
  • Menu
Facts & Numbers
000
Presentation

High-Assurance Software

At HASLab, we anchor our research on a rigorous approach to three areas of Computer Science: Software Engineering, Distributed Systems, and Cryptography and Information Security.

Our contributions to these areas range from fundamental research on formal methods and algorithms, to applied research on the development of tools and middleware that address real-world demands stemming from long-term collaborations with industry.

Latest News
Computer Science

European project SafeCloud receives positive evaluation in second year

The European project SafeCloud, Secure and Resilient Cloud Architecture, received a positive assessment in its second year of activity, as part of the European Commission's evaluation, in November, in Brussels.

17th January 2018

Computer Science

INESC TEC’s collaborator wins a Gulbenkian research grant

Afonso Rodrigues, INESC TEC’s collaborator and student in the Integrated Master's in Physics Engineering at University of Minho, was one of the eight winners of a Gulbenkian scientific and technological research grant, in the context of Quantum Technologies.

04th January 2018

Computer Science

INESC TEC startups at the largest technological conference

Web Summit, the largest European conference on entrepreneurship, technology and innovation, had the participation of 2100 startups, which tried their luck to obtain funding. Two of these originated in INESC TEC: SafeCloud Technologies and MitMyNid.

18th December 2017

Computer Science

INESC TEC organises international conference on Formal Methods

The High-Assurance Software Laboratory (HASLab) of INESC TEC organised the 14th edition of FACS – International Conference on Formal Aspects of Component Software, which took place between the 10th and the 13th of October in Braga.

31st October 2017

Computer Science

INESC TEC researcher concludes habilitation exams

Rui Oliveira, member of the board of INESC TEC, researcher at the High-Assurance Software Laboratory (HASLab), professor at the School of Engineering of the University of Minho and member of the Board of Directors of INESC TEC, concluded on the 7th and 8th of September his habilitation exams at the University of Minho, which were unanimously approved by the members of the jury.

13th October 2017

Interest Topics
018

Featured Projects

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: Towards an Engineering Discipline for Green Software

2016-2019

Cloud-Setup-1

PLATAFORMA DE PREPARAÇÃO DE CONTEÚDOS AUDIOVISUAIS PARA INGEST NA CLOUD

2016-2018

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

2015-2018

NanoStima-RL3

NanoSTIMA – Health data infrastructure

2015-2018

SMILES

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

2015-2018

UPGRID

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

2015-2018

PaaS2

Integrated Management of PaaS services

2014-2015

LeanBigData

Ultra-Scalable and Ultra-Efficient Integrated and Visual Big Data Analytics

2014-2017

Practice

Privacy-Preserving Computation in the Cloud

2013-2016

CoherentPaaS

A Coherent and Rich PaaS with a Common Programming Model

2013-2016

PaaS

Integrated Management of PaaS services

2013-2015

Cloud

Integrated Management of Cloud Services with Operations Support Systems

2012-2013

WEB2Economy

Web 2.0 Platform - WEB2Economy

2011-2012

Team
001

Laboratories

CLOUDinha Laboratory

Publications

HASLAB Publications

View all Publications

2018

Delta State replicated data types

Authors
Almeida, PS; Shoker, A; Baquero, C;

Publication
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING

Abstract
Conflict-free Replicated Data Types (CRDTs) are distributed data types that make eventual consistency of a distributed object possible and non ad-hoc. Specifically, state-based CRDTs ensure convergence through disseminating the entire state, that may be large, and merging it to other replicas. We introduce Delta State Conflict-Free Replicated Data Types (delta-CRDT) that can achieve the best of both operation-based and state-based CRDTs: small messages with an incremental nature, as in operation-based CRDTs, disseminated over unreliable communication channels, as in traditional state-based CRDTs. This is achieved by defining delta-mutators to return a delta-state, typically with a much smaller size than the full state, that to be joined with both local and remote states. We introduce the delta-CRDT framework, and we explain it through establishing a correspondence to current state-based CRDTs. In addition, we present an anti-entropy algorithm for eventual convergence, and another one that ensures causal consistency. Finally, we introduce several delta-CRDT specifications of both well-known replicated datatypes and novel datatypes, including a generic map composition.

2018

Delta state replicated data types

Authors
Almeida, PS; Shoker, A; Baquero, C;

Publication
J. Parallel Distrib. Comput.

Abstract

2018

Preference rules for label ranking: Mining patterns in multi-target relations

Authors
de Sa, CR; Azevedo, P; Soares, C; Jorge, AM; Knobbe, A;

Publication
INFORMATION FUSION

Abstract
In this paper, we investigate two variants of association rules for preference data, Label Ranking Association Rules and Pairwise Association Rules. Label Ranking Association Rules (LRAR) are the equivalent of Class Association Rules (CAR) for the Label Ranking task. In CAR, the consequent is a single class, to which the example is expected to belong to. In LRAR, the consequent is a ranking of the labels. The generation of LRAR requires special support and confidence measures to assess the similarity of rankings. In this work, we carry out a sensitivity analysis of these similarity-based measures. We want to understand which datasets benefit more from such measures and which parameters have more influence in the accuracy of the model. Furthermore, we propose an alternative type of rules, the Pairwise Association Rules (PAR), which are defined as association rules with a set of pairwise preferences in the consequent. While PAR can be used both as descriptive and predictive models, they are essentially descriptive models. Experimental results show the potential of both approaches.

2018

Dynamic Logic. New Trends and Applications - First International Workshop, DALI 2017, Brasilia, Brazil, September 23-24, 2017, Proceedings

Authors
Madeira, A; Benevides, M;

Publication
DALI@TABLEAUX

Abstract

2017

HTAPBench: Hybrid Transactional and Analytical Processing Benchmark

Authors
Coelho, Fabio; Paulo, Joao; Vilaça, Ricardo; Pereira, JoseOrlando; Oliveira, Rui;

Publication
Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering, ICPE 2017, L'Aquila, Italy, April 22-26, 2017

Abstract
The increasing demand for real-time analytics requires the fusion of Transactional (OLTP) and Analytical (OLAP) systems, eschewing ETL processes and introducing a plethora of proposals for the so-called Hybrid Analytical and Trans-actional Processing (HTAP) systems. Unfortunately, current benchmarking approaches are not able to comprehensively produce a unified metric from the assessment of an HTAP system. The evaluation of both engine types is done separately, leading to the use of disjoint sets of benchmarks such as TPC-C or TPC-H. In this paper we propose a new benchmark, HTAPBench, providing a unified metric for HTAP systems geared toward the execution of constantly increasing OLAP requests limited by an admissible impact on OLTP performance. To achieve this, a load balancer within HTAPBench regulates the coexistence of OLTP and OLAP workloads, proposing a method for the generation of both new data and requests, so that OLAP requests over freshly modified data are comparable across runs. We demonstrate the merit of our approach by validating it with different types of systems: OLTP, OLAP and HTAP; showing that the benchmark is able to highlight the differences between them, while producing queries with comparable complexity across experiments with negligible variability. © 2017 ACM.

Supervised Theses

2016

Modelação de consumo de energia em Linux

Author
Carlos Gustavo Ferreira Araújo Portela

Institution
UM

2016

Safety Verification for ROS Applications

Author
André Filipe Faria dos Santos

Institution
UM

2016

-

Author
Chong liu

Institution
UM

2016

Holistic performance and scalability analysis for large scale distributed systems

Author
Francisco Nuno Teixeira Neves

Institution
UM

2016

Optimizing Operation-based Conflict-free Replicated Data Types

Author
Georges Younes

Institution
UM

Facts & Figures

21Academic Staff

2017

0R&D Employees

2017