Now showing items 1-20 of 22

    • An Architecture for Programming Distributed Applications on Fog to Cloud Systems 

      Lordan Gomis, Francesc-Josep; Lezzi, Daniele; Ejarque, Jorge; Badia Sala, Rosa Maria (Springer, 2018-02-08)
      Conference lecture
      Open Access
      This paper presents a framework to develop and execute applications in distributed and highly dynamic computing systems composed of cloud resources and fog devices such as mobile phones, cloudlets, and micro-clouds. The ...
    • Benefits of a Fog-to-Cloud Approach in Proximity Marketing 

      Salis, Antonio; Mancini, Glauco; Bulla, Roberto; Cocco, Paolo; Lezzi, Daniele; Lordan, Francesc (Springer, 2018-12-31)
      Conference lecture
      Open Access
      The EC H2020 mF2C Project is working to the development of a software framework that enables the orchestration of resources and communication at fog level, as an extension of cloud computing and interacting with the IoT. ...
    • BIGSEA: A big data analytics platform for public transportation information 

      Alic, Andy S.; Almeida, Jurassa; Aloisio, Giovanni; Andrade, Nazareno; Antunes, Nuno; Ardagna, Danilo; Badia Sala, Rosa Maria; Basso, Tania; Blanquer, Ignacio; Braz, Tarciso; Brito, Andrey; Elia, Donatello; Fiore, Sandro; Guedes, Dorgival; Lattuada, Marco; Lezzi, Daniele; Maciel, Matheus; Meira Jr, Wagner; Mestre, Demetrio; Moraes, Regina; Morais, Fabio; Pires, Carlos Eduardo; Kozievitch, Nádia P.; dos Santos, Walter; Silva, Paulo; Vieira, Marco (Elsevier, 2019-07)
      Article
      Open Access
      Analysis of public transportation data in large cities is a challenging problem. Managing data ingestion, data storage, data quality enhancement, modelling and analysis requires intensive computing and a non-trivial amount ...
    • BioExcel Building Blocks, a software library for interoperable biomolecular simulation workflows 

      Andrio, Pau; Hospital, Adam; Conejero Bañón, Javier; Jordá, Luis; del Pino, Marc; Codo, Laia; Soiland Reyes, Stian; Goble, Carole; Lezzi, Daniele; Badia Sala, Rosa Maria; Orozco López, Modesto; Gelpi Buchaca, Josep Lluís (Nature, 2019-09-10)
      Article
      Open Access
      In the recent years, the improvement of software and hardware performance has made biomolecular simulations a mature tool for the study of biological processes. Simulation length and the size and complexity of the analyzed ...
    • Calibration of LOFAR data on the cloud 

      Sabater, Jose; Sánchez Expósito, Susana; Best, Philip; Garrido, Julián; Verdes-Montenegro, Lourdes; Lezzi, Daniele (Elsevier, 2017-04-01)
      Article
      Open Access
      New scientific instruments are starting to generate an unprecedented amount of data. The Low Frequency Array (LOFAR), one of the Square Kilometre Array (SKA) pathfinders, is already producing data on a petabyte scale. The ...
    • Colony: Parallel functions as a service on the cloud-edge continuum 

      Lordan Gomis, Francesc; Lezzi, Daniele; Badia Sala, Rosa Maria (Springer Nature, 2021)
      Conference report
      Open Access
      Although smart devices markets are increasing their sales figures, their computing capabilities are not sufficient to provide good-enough-quality services. This paper proposes a solution to organize the devices within the ...
    • COMP Superscalar, an interoperable programming framework 

      Badia Sala, Rosa Maria; Conejero, Javier; Díaz, Carlos; Ejarque, Jorge; Lezzi, Daniele; Lordan Gomis, Francesc-Josep; Ramón Cortés, Cristian; Sirvent Pardell, Raül (2015-12-01)
      Article
      Open Access
      COMPSs is a programming framework that aims to facilitate the parallelization of existing applications written in Java, C/C++ and Python scripts. For that purpose, it offers a simple programming model based on sequential ...
    • Cyberinfrastructure programming with COMPSs 

      Lordan Gomis, Francesc-Josep; Lezzi, Daniele; Badia Sala, Rosa Maria (Barcelona Supercomputing Center, 2019-05-07)
      Conference report
      Open Access
    • DDF Library: Enabling functional programming in a task-based model 

      Ponce, Lucas M.; Lezzi, Daniele; Badia Sala, Rosa Maria; Guedes, Dorgival (Elsevier, 2021-05)
      Article
      Open Access
      In recent years, the areas of High-Performance Computing (HPC) and massive data processing (also know as Big Data) have been in a convergence course, since they tend to be deployed on similar hardware. HPC systems have ...
    • EMOTIVE: the BSC’s engine for cloud solutions 

      Badia Sala, Rosa Maria; Goiri Presa, Íñigo; Guitart Fernández, Jordi; Macías Lloret, Mario; Torres Viñals, Jordi; Ayguadé Parra, Eduard; Ejarque, Jorge; Sirvent Pardell, Raül; Lezzi, Daniele (2009-10-01)
      Article
      Open Access
      Cloud computing is strongly based on virtualization, allowing applications to be multiplexed onto a physical resource while isolated from other applications sharing that physical resource. This technology simplifies the ...
    • Execution of scientific workflows on federated multi-cloud infrastructures 

      Lezzi, Daniele; Lordan Gomis, Francesc-Josep; Rafanell, Roger; Badia, Rosa M. (2014-01-01)
      Article
      Restricted access - publisher's policy
      Recently cloud services have been evaluated by scientific communities as a viable solution to satisfy their computing needs, reducing the cost of ownership and operation to the minimum. The analysis on the adoption of the ...
    • Extension of a task-based model to functional programming 

      Ponce, Lucas M.; Lezzi, Daniele; Badia Sala, Rosa Maria; Guedes, Dorgival (Institute of Electrical and Electronics Engineers (IEEE), 2019)
      Conference report
      Open Access
      Recently, efforts have been made to bring together the areas of high-performance computing (HPC) and massive data processing (Big Data). Traditional HPC frameworks, like COMPSs, are mostly task-based, while popular big-data ...
    • Greening AI: A framework for energy-aware resource allocation of ML training jobs with performance guarantees 

      Sala, Roberto; Filippini, Federica; Ardagna, Danilo; Lezzi, Daniele; Lordan Gomis, Francesc-Josep; Thiem, Patrick (Springer, 2024)
      Conference report
      Restricted access - publisher's policy
      The rapid expansion of Machine Learning (ML) and Artificial Intelligence (AI) has profoundly influenced the technological landscape, reshaping various industries and applications. This surge in computational demands has ...
    • Harnessing the computing continuum across personalized healthcare, maintenance and inspection, and Farming 4.0 

      Baghdadi, Fatemeh; Cirillo, Davide; Lezzi, Daniele; Lordan Gomis, Francesc-Josep; Vázquez Novoa, Fernando; Lomurno, Eugenio; Archetti, Alberto; Ardagna, Danilo; Matteucci, Matteo (SciTePress, 2024)
      Conference report
      Open Access
      The AI-SPRINT project, launched in 2021 and funded by the European Commission, focuses on the development and implementation of AI applications across the computing continuum. This continuum ensures the coherent integration ...
    • mF2C: Towards a coordinated management of the IoT-fof-cloud continuum 

      Masip Bruin, Xavier; Marín Tordera, Eva; Juan Ferrer, Ana; Queralt Calafat, Anna; Jukan, Admela; García Almiñana, Jordi; Lezzi, Daniele; Jensen, Jens; Cordeiro, Cristovao; Leckey, Alexander; Salis, Antonio; Guilhot, Denis; Cankar, Matic (ACM, 2018)
      Conference report
      Open Access
      Fog computing enables location dependent resource allocation and low latency services, while fostering novel market and business opportunities in the cloud sector. Aligned to this trend, we refer to Fog-tocloud (F2C) ...
    • PyCOMPSs as an instrument for translational computer science 

      Badia Sala, Rosa Maria; Conejero Bañón, Francisco Javier; Ejarque Artigas, Jorge; Lezzi, Daniele; Lordan Gomis, Francesc (2022-03-01)
      Article
      Open Access
      With the advent of distributed computing, the need for frameworks that facilitate its programming and management has also appeared. These tools have typically been used to support the research on application areas that ...
    • Securing the Execution of ML Workflows across the Compute Continua 

      Lordan Gomis, Francesc-Josep; Martin, André; Lezzi, Daniele (Association for Computing Machinery (ACM), 2023)
      Conference lecture
      Open Access
      Cloud computing has become the major computational paradigm for the deployment of all kind of applications, ranging from mobile apps to complex AI algorithms. On the other side, the rapid growth of IoT market has led to ...
    • Supporting biodiversity studies with the EUBrazilOpenBio hybrid data infrastructure 

      Amaral, Rafael; Badia, Rosa M.; Lezzi, Daniele; Rafanell, Roger (John Wiley & Sons, 2015-02)
      Article
      Open Access
      EUBrazilOpenBio is a collaborative initiative addressing strategic barriers in biodiversity research by integrating open access data and user-friendly tools widely available in Brazil and Europe. The project deploys the ...
    • The BioExcel methodology for developing dynamic, scalable, reliable and portable computational biomolecular workflows 

      Ejarque Artigas, Jorge; Andrio Balado, Pau; Hospital Gasch, Adam; Conejero Bañón, Francisco Javier; Lezzi, Daniele; Badia Sala, Rosa Maria; Gelpi Buchaca, Josep Lluís (Institute of Electrical and Electronics Engineers (IEEE), 2022)
      Conference report
      Open Access
      Developing complex biomolecular workflows is not always straightforward. It requires tedious developments to enable the interoperability between the different biomolecular simulation and analysis tools. Moreover, the need ...
    • Transparent Orchestration of Task-based Parallel Applications in Containers Platforms 

      Ramón Cortés, Cristian; Serven, Albert; Ejarque, Jorge; Lezzi, Daniele; Badia Sala, Rosa Maria (Springer Verlag, 2018-03)
      Article
      Open Access
      This paper presents a framework to easily build and execute parallel applications in container-based distributed computing platforms in a user-transparent way. The proposed framework is a combination of the COMP Superscalar ...