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About

About

INESC TEC’s CLOUDinha Laboratory provides computational support to research and development activities of INESC TEC and University of Minho, providing bare metal, virtualization, and security features such as trusted hardware.

The cluster is composed of different generations of hardware namely, Haswell, Kaby Lake, Comet Lake, Coffee Lake and Raptor Lake. It is currently composed of 106 micro-ATX machines based on commodity hardware with Intel Core i3,i5, and i9 CPUs, 8GB, 16 GB, and 64GB of memory, and heterogeneous storage hardware including HDDs, SSDs, and NVMe devices. The machines are connected through either a 1 Gb or 10 Gb network. 

In addition to these, the cluster has 4 rack servers based on Intel Xeon hardware, with 32, 64GB, 192GB of memory, and heterogeneous storage hardware including SSDs, NVMe, and persistent memory devices. They are connected through either a 1 Gb or 10 Gb network, while some of them also have programmable network capabilities (DPDK).

The heterogeneous hardware nature of the cluster is important for supporting different research projects that may require specific hardware features (e.g., different storage or network technologies, access to trusted hardware capabilities).

Location: UMinho Campus, Braga

Research Areas

Research Areas

  • Distributed and Operating Systems

  • Storage Systems and Databases

  • Privacy and Security

  • Blockchain and Internet of Things

  • Bioinformatics

Selected Publications

Selected Publications

M. Ramos, J. Azevedo, K. Kingsbury, J. Pereira, T. Esteves, R. Macedo, J. Paulo. "When Amnesia Strikes: Understanding and Reproducing Data Loss Bugs with Fault Injection", Proceedings of the VLDB Endowment, 17 (11), 2024.
Read PDF here.

E. Conceição, A. Alonso, R. Oliveira, J. Pereira. "TADA: A Toolkit for Approximate Distributed Agreement", Science of Computer Programming (238), 2024. 

Read PDF here.

C. Brito, P. Ferreira, B. Portela, R. Oliveira, J. Paulo. "Privacy-Preserving Machine Learning on Apache Spark", IEEE Access (11), 2023.

Read PDF here.

T. Esteves, R. Macedo, R. Oliveira, J. Paulo. "Toward a practical and timely diagnosis of applications' I/O behavior", IEEE Access (11), 2023.
Read PDF here.

R. Monteiro, J. Silva. "Flexcomm Simulator: Exploring Energy Flexibility in Software Defined Networks with ns-3", Proceedings of the 2023 Workshop on ns-3, 2023.
Read PDF here

R. Macedo, Y. Tanimura, J. Haga, V. Chidambaram, J. Pereira, J. Paulo. "PAIO: General, Portable I/O Optimizations With Minor Application Modifications", 20th USENIX Conference on File and Storage Technologies (USENIX FAST), 2022.

Read PDF here.

Theses

Theses

Under the scope of different research and innovation project, as well as PhD and MSc theses, software prototypes are developed. In 2023, 7 ongoing PhD theses and 28 MSc theses used the CLOUDinha Laboratory as computational infrastructure for the research work.

Moreover, 22 of these works exclusively used commodity hardware resources, 3 of them conducted their experiments on the enterprise-grade rack servers, and the remainder resorted to both resource types. All of these works resulted in thousands of hours of computation. 

Equipments

Equipments

Servers:

  • 4x Supermicro G2  
  • 12x Dell OptiPlex 7010
  • 2x Dell OptiPlex 5000  
  • 8x Dell Optiplex 3080 
  • 23x Dell Optiplex 3070  
  • 4x Dell Optiplex 3050  
  • 2x Alienware Aurora R9  
  • 32x HP ProDesk 500 G2.5  
  • 29x Dell Vostro 270s 
  • 1x Dell R650  
  • 1x Dell R640 

Network:

  • 3x 10 Gigabit Switches  
  • 2x Gigabit Switches 
Centres and Stakeholders

INESC TEC

HASLab
CentreHigh-Assurance Software

Stakeholders

UMinho
UniversityUniversity of Minho
Funding

The CLOUDinha Lab is financed by:

CTI - This work is co-financed by Component 5 - Capitalization and Business Innovation of core funding for Technology and Innovation Centres (CTI), integrated in the Resilience Dimension of the Recovery and Resilience Plan within the scope of the Recovery and Resilience Mechanism (MRR) of the European Union (EU), framed in the Next Generation EU, for the period 2021 - 2026.

Plurianual - This work is financed by National Funds through the Portuguese funding agency, FCT - Fundação para a Ciência e a Tecnologia, within project UIDP/50014/2020. DOI 10.54499/UIDP/50014/2020.

InterConnect - This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 857237.

Contacts