Exploració per autor "Cugnasco, Cesare"

Ara es mostren els items 1-9 de 9

    • A framework for multidimensional indexes on distributed and highly-available data stores 

      Cugnasco, Cesare; Becerra Fontal, Yolanda (Barcelona Supercomputing Center, 2015-05-05)
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      No-relational databases are nowadays a common solution when dealing with a huge data set and massive query workload. These systems have been redesigned from scratch in order to achieve scalability and availability at ...

    • Aeneas: A tool to enable applications to effectively use non-relational databases 

      Cugnasco, Cesare; Hernández, Roger; Becerra Fontal, Yolanda; Torres Viñals, Jordi; Ayguadé Parra, Eduard (Elsevier, 2013)
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      Non-relational databases arise as a solution to solve the scalability problems of relational databases when dealing with big data applications. However, they are highly configurable prone to user decisions that can heavily ...

    • BIGNASim: a NoSQL database structure and analysis portal for nucleic acids simulation data 

      Hospital, Adam; Andrio, Pau; Cugnasco, Cesare; Codo, Laia; Becerra Fontal, Yolanda; Dans, Pablo D.; Battistini, Federica; Torres Viñals, Jordi; Goñi, Ramon; Orozco, Modesto; Gelpí, Josep Lluís (2016-01-04)
      Article
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      Molecular dynamics simulation (MD) is, just behind genomics, the bioinformatics tool that generates the largest amounts of data, and that is using the largest amount of CPU time in supercomputing centres. MD trajectories ...

    • BIGNASim: a NoSQL database structure and analysis portal for nucleic acids simulation data. 

      Hospital, Adam; Andrio, Pau; Cugnasco, Cesare; Codó, Laia; Becerra Fontal, Yolanda; Dans, Pablo D.; Battistini, Federica; Torres, Jordi; Goni, Ramón; Orozco, Modesto; Gelpí, Josep Lluís (Oxford Journals, 2016-01-04)
      Article
      Accés obert
      Molecular dynamics simulation (MD) is, just behind genomics, the bioinformatics tool that generates the largest amounts of data, and that is using the largest amount of CPU time in supercomputing centres. MD trajectories ...

    • Exploiting key-value data stores scalability for HPC 

      Cugnasco, Cesare; Becerra Fontal, Yolanda; Torres Viñals, Jordi; Ayguadé Parra, Eduard (Institute of Electrical and Electronics Engineers (IEEE), 2017)
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      BigData revolutionised the IT industry. It first interested the OLTP systems. Distributed Hash Tables replaced Traditional SQL databases as they guaranteed low response time on simple read/write requests. The second wave ...

    • A framework for multidimensional indexes on distributed and highly-available data stores 

      Cugnasco, Cesare (Universitat Politècnica de Catalunya, 2019-03-22)
      Tesi
      Accés obert
      Spatial Big Data is considered an essential trend in future scientific and business applications. Indeed, research instruments, medical devices, and social networks generate hundreds of peta bytes of spatial data per year. ...

    • ParaView + Alya + D8tree: Integrating high performance computing and high performance data analytics 

      Artigues, Antoni; Cugnasco, Cesare; Becerra Fontal, Yolanda; Cucchietti, Fernando; Houzeaux, Guillaume; Vázquez, Mariano; Torres Viñals, Jordi; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José (Elsevier, 2017)
      Article
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      Large scale time-dependent particle simulations can generate massive amounts of data, making it so that storing the results is often the slowest phase and the primary time bottleneck of the simulation. Furthermore, analysing ...

    • The OTree: multidimensional indexing with efficient data sampling for HPC 

      Cugnasco, Cesare; Calmet, Hadrien; Santamaria Mateu, Pol; Sirvent Pardell, Raül; Eguzkitza, Ane Beatriz; Houzeaux, Guillaume; Becerra Fontal, Yolanda; Torres Viñals, Jordi; Labarta Mancho, Jesús José (Institute of Electrical and Electronics Engineers (IEEE), 2019)
      Text en actes de congrés
      Accés obert
      Spatial big data is considered an essential trend in future scientific and business applications. Indeed, research instruments, medical devices, and social networks generate hundreds of petabytes of spatial data per year. ...

    • Towards specification of a software architecture for cross-sectoral big data applications 

      Arapakis, Ioannis; Becerra Fontal, Yolanda; Boehm, Omer; Bravos, Geroge; Chatzigiannakis, Vassilis; Cugnasco, Cesare; Demetriou, Giorgos; Eleftheriou, Iliada; Mascolo, Julien Etienne; Fodor, Lidija; Ioannidis, Sotiris; Jakovetic, Dusan; Kallipolitis, Leonidas; Kavakli, Evangelia; Kopanaki, Despina; Kourtellis, Nicolas; Marcos, Mario Maawad; Martin de Pozuelo, Ramon; Milosevic, Nemanja; Morandi, Giuditta; Pages Montanera, Enric; Ristow, Gerald; Sakellariou, Rizos; Sirvent, Raül; Skrbic, Srdjan; Spais, Ilias; Vasiliadis, Giorgos; Vinov, Michael (Institute of Electrical and Electronics Engineers (IEEE), 2019)
      Comunicació de congrés
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      The proliferation of Big Data applications puts pressure on improving and optimizing the handling of diverse datasets across different domains. Among several challenges, major difficulties arise in data-sensitive domains ...