Distributed Systems and Data Science Group

The Distributed Systems and Data Science Group (DSG) performs research in several topics in the broad area of computer systems and data science. The overarching goal of our research is to improve the abstractions, mechanisms and techniques that are used for building distributed and concurrent applications, so that these applications become more robust, more secure, and perform better. The motivation for our research is to empower individual people and collectives with distributed computing services, programming models and systems that mask the complexity of the myriad of interrelated software, computing and communication elements and their complex interactions in a large, diverse and changing environment. Active research areas of the group are the following ones:


DSG Publications

BePOCH: Improving Federated Learning Performance in Resource-Constrained Computing Devices
Lenart Ibraimi, Mennan Selimi, Felix Freitag
IEEE Global Communications Conference (GLOBECOM 2021), Dec 2021, Madrid, Spain.

A Two-stage Multi-Criteria Optimization Method for Service Placement in Decentralized Edge Micro-Clouds
Javier Panadero, Mennan Selimi, Laura Calvet, Joan Manuel, Felix Freitag
Future Generation Computer Systems, Elsevier, 2021.

REDEMON - Resilient Decentralized Monitoring System for Edge Infrastructures
Roger Pueyo Centelles, Mennan Selimi, Felix Freitag, Leandro Navarro
IEEE/ACM CCGRID 2020, Melbourne, Australia

Towards Information-Centric Edge Platform for Mesh Networks - The Case of CityLab Testbed
Mennan Selimi, Leandro Navarro, Bart Braem, Felix Freitag
IEEE ICFC 2020, Sydney, Australia

Contract Networking for Crowdsourced Connectivity
Leandro Navarro, Emmanouil Dimogerontakis, Mennan Selimi, Sergio Mosquera, Felix Freitag
IEEE DAPPS 2020, Oxford, UK

A Monitoring System for Distributed Edge Infrastructures with Decentralized Coordination
Roger Pueyo Centelles, Mennan Selimi, Felix Freitag, and Leandro Navarro
Springer Lecture Notes in Computer Science (LNCS)

DIMON - Distributed Monitoring System for Decentralized Edge Clouds in Guifi.net
Roger Pueyo Centelles, Mennan Selimi, Felix Freitag, Leandro Navarro
IEEE SOCA 2019, Taiwan

Candidate for Best Paper Award

End User-Managed Service Deployments in Microclouds at the Network Edge
Felix Freitag, Leandro Navarro, Mennan Selimi, Roger Pueyo Centelles
IEEE GCCE 2019, Osaka, Japan

Outstanding Poster Paper Award

MeshDapp – Blockchain-enabled Sustainable Business Models for Networks
Emmanouil Dimogerontakis, Leandro Navarro, Mennan Selimi, Sergio Mosquera, Felix Freitag
GECON 2019, Leeds, UK

PiCasso:Enabling Information-Centric Multi-tenancy at the Edge of Community Mesh Networks
Mennan Selimi, Adisorn Lertsinsrubtavee, Arjuna Sathiaseelan, Llorenç Cerdà-Alabern, Leandro Navarro
Computer Networks, Elsevier (COMNET 2019)

Blockchain for Economically Sustainable Wireless Mesh Networks
Aniruddh Kabbinale, Emmanouil Dimogerontakis, Mennan Selimi, Anwaar Ali, Leandro Navarro, Arjuna Sathiaseelan, Jon Crowcroft
Concurrency and Computation:Practice and Experience (2019)

A Lightweight Service Placement Approach for Community Network Micro-Clouds
Mennan Selimi, Llorenç Cerdà-Alabern, Felix Freitag, Luís Veiga, Arjuna Sathiaseelan, Jon Crowcroft
Journal of Grid Computing (2018)

Information-Centric Multi-Access Edge Computing Platform for Community Mesh Networks
Adisorn Lertsinsrubtavee, Mennan Selimi, Arjuna Sathiaseelan, Llorenç Cerdà-Alabern, Leandro Navarro, Jon Crowcroft
ACM COMPASS 2018, Menlo Park, California, USA

Towards Blockchain-enabled Wireless Mesh Networks
Mennan Selimi, Aniruddh Rao Kabbinale, Anwaar Ali, Leandro Navarro, Arjuna Sathiaseelan
ACM MobiCom CryBlock 2018, Munich, Germany

Best Paper Award

Gelly-scheduling:Distributed Graph Processing for Service Placement in Community Networks
Miguel E. Coimbra, Mennan Selimi, Alexandre P. Francisco, Felix Freitag, Luís Veiga
ACM SAC 2018, Pau, France

Cloud Services in the Guifi.net Community Network
Mennan Selimi, Amin M.Khan, Emmanouil Dimogerontakis, Felix Freitag, Roger Pueyo Centelles
Computer Networks, Elsevier