Browsing by Author "Lezzi, Daniele"Més informació

Now showing items 1-16 of 16

    • 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 ...

    • 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, 2021-02)
      Article
      Restricted access - publisher's policy
      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 ...

    • 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) ...

    • 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 ...

    • 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 ...

    • Upgrading a high performance computing environment for massive data processing 

      Ponce, Lucas M.; dos Santos, Walter; Meira Jr, Wagner; Guedes, Dorgival; Lezzi, Daniele; Badia Sala, Rosa Maria (Springer, 2019-10-16)
      Article
      Open Access
      High-performance computing (HPC) and massive data processing (Big Data) are two trends that are beginning to converge. In that process, aspects of hardware architectures, systems support and programming paradigms are being ...

    • Workflow environments for advanced cyberinfrastructure platforms 

      Badia Sala, Rosa Maria; Ejarque Artigas, Jorge; Lordan Gomis, Francesc; Lezzi, Daniele; Conejero Bañón, Javier; Álvarez Cid-Fuentes, Javier; Becerra Fontal, Yolanda; Queralt Calafat, Anna (Institute of Electrical and Electronics Engineers (IEEE), 2019)
      Conference report
      Open Access
      Progress in science is deeply bound to the effective use of high-performance computing infrastructures and to the efficient extraction of knowledge from vast amounts of data. Such data comes from different sources that ...