Ara es mostren els items 62-81 de 103

    • J2EE instrumentation for software aging root cause application component determination with AspectJ 

      Alonso López, Javier; Torres Viñals, Jordi; Berral García, Josep Lluís; Gavaldà Mestre, Ricard (IEEE Computer Society Publications, 2010-04-23)
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      Unplanned system outages have a negative impact on company revenues and image. While the last decades have seen a lot of efforts from industry and academia to avoid them, they still happen and their impact is increasing. ...
    • Java instrumentation suite: accurate analysis of Java threaded applications 

      Guitart Fernández, Jordi; Torres Viñals, Jordi; Ayguadé Parra, Eduard; Oliver, Jose; Labarta Mancho, Jesús José (2000)
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      The rapid maturing process of the Java technology is encouraging users the development of portable applications using the Java language. As an important part of the definition of the Java language, the use of threads is ...
    • "Living in Barcelona" Li-BCN workload 2010 

      Berral García, Josep Lluís; Gavaldà Mestre, Ricard; Torres Viñals, Jordi (2011)
      Report de recerca
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      Nowadays lots of Internet users are clients of web hosting companies, willing to offer their web services, store their content, or just publish their web sites on the network. This has made the hosting companies to use big ...
    • Loop parallelization: revisiting framework of unimodular transformations 

      Torres Viñals, Jordi; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José; Valero Cortés, Mateo (Institute of Electrical and Electronics Engineers (IEEE), 1996)
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      The paper extends the framework of linear loop transformations adding a new nonlinear step at the transformation process. The current framework of linear loop transformation cannot identify a significant fraction of ...
    • Managing SLAs of heterogeneous workloads using dynamic application placement 

      Carrera Pérez, David; Steinder, Malgorzata; Whalley, Ian; Torres Viñals, Jordi; Ayguadé Parra, Eduard (ACM Press, NY, 2008)
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      In this paper we address the problem of managing heterogeneous workloads in a virtualized data center. We consider two different workloads: transactional applications and long-running jobs. We present a technique that ...
    • Mask-guided sample selection for semi-supervised instance segmentation 

      Bellver Bueno, Míriam; Salvador Aguilera, Amaia; Torres Viñals, Jordi; Giró Nieto, Xavier (2020-07-05)
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      Image segmentation methods are usually trained with pixel-level annotations, which require significant human effort to collect. Weakly-supervised pipelines are the most common solution to address this constraint because ...
    • Matching renewable energy supply and demand in green datacenters 

      Goiri, Iñigo; Haque, Md E.; Le, Kien; Beauchea, Ryan; Nguyen, Thu D.; Guitart Fernández, Jordi; Torres Viñals, Jordi; Bianchini, Ricardo (Elsevier, 2015-02-01)
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      In this paper, we propose GreenSlot, a scheduler for parallel batch jobs in a datacenter powered by a photovoltaic solar array and the electrical grid (as a backup). GreenSlot predicts the amount of solar energy that will ...
    • Maximizing revenue in Grid markets using an economically enhanced resource manager 

      Macías Lloret, Mario; Rana, Omer; Smith, Garry; Guitart Fernández, Jordi; Torres Viñals, Jordi (2008-09-01)
      Article
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      Traditional resource management has had as its main objective the optimization of throughput, based on parameters such as CPU, memory, and network bandwidth. With the appearance of Grid markets, new variables that determine ...
    • Mining urban events from the tweet stream through a probabilistic mixture model 

      Capdevila Pujol, Joan; Cerquides, Jesús; Torres Viñals, Jordi (2017-08-30)
      Article
      Accés obert
      The geographical identification of content in Social Networks have enabled to bridge the gap between online social platforms and the physical world. Although vast amounts of data in such networks are due to breaking news ...
    • Model-based ML for retrospective event detection 

      Capdevila Pujol, Joan; Cerquides, Jesús; Torres Viñals, Jordi (Barcelona Supercomputing Center, 2018-04-24)
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    • Modeling cloud resources using machine learning 

      Berral García, Josep Lluís; Gavaldà Mestre, Ricard; Torres Viñals, Jordi (2013)
      Report de recerca
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      Cloud computing is a new Internet infrastructure paradigm where management optimization has become a challenge to be solved, as all current management systems are human-driven or ad-hoc automatic systems that must be tuned ...
    • Multifaceted resource management for dealing with heterogeneous workloads in virtualized data centers 

      Goiri Presa, Íñigo; Fitó, Josep Oriol; Julià Masso, Ferran; Nou Castell, Ramon; Berral García, Josep Lluís; Guitart Fernández, Jordi; Torres Viñals, Jordi (IEEE Computer Society Publications, 2010)
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      As long as virtualization has been introduced in data centers, it has been opening new chances for resource management. Now, it is not just used as a tool for consolidating underused nodes and save power, it also allows ...
    • Multimedia big data computing for in-depth event analysis 

      Tous Liesa, Rubén; Torres Viñals, Jordi; Ayguadé Parra, Eduard (Institute of Electrical and Electronics Engineers (IEEE), 2015)
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      While the most part of ”big data” systems target text-based analytics, multimedia data, which makes up about 2/3 of internet traffic, provide unprecedented opportunities for understanding and responding to real world ...
    • Obtaining synchronization-free code with maximum parallelism 

      Gavaldà Mestre, Ricard; Ayguadé Parra, Eduard; Torres Viñals, Jordi (1996-03)
      Report de recerca
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      This paper addresses the problem of extracting the maximum synchronization-free parallelism that may be present in loops. In order to reduce communication and synchronization overheads, some parallelizing compilers ...
    • On automatic loop data-mapping for distributed-memory multiprocessors 

      Torres Viñals, Jordi; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José; Llaberia Griñó, José M.; Valero Cortés, Mateo (Springer, 1991)
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      In this paper we present a unified approach for compiling programs for Distributed-Memory Multiprocessors (DMM). Parallelization of sequential programs for DMM is much more difficult to achieve than for shared memory systems ...
    • 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)
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      Accés obert
      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 ...
    • Performance impact of the grid middleware 

      Carrera Pérez, David; Guitart Fernández, Jordi; Beltran Querol, Vicenç; Torres Viñals, Jordi; Ayguadé Parra, Eduard (American Scientific Publishers, 2006-01)
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      The Open Grid Services Architecture (OGSA) defines a new vision of the Grid based on the use of Web Services (Grid Services). The standard interfaces, behaviors and schemes that are consistent with the OGSA specification ...
    • Power-aware multi-data center management using machine learning 

      Berral García, Josep Lluís; Gavaldà Mestre, Ricard; Torres Viñals, Jordi (2013)
      Text en actes de congrés
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      The cloud relies upon multi-datacenter (multi-DC) infrastructures distributed along the world, where people and enterprises pay for resources to offer their web-services to worldwide clients. Intelligent management is ...
    • Predicting web server crashes: a case study in comparing prediction algorithms 

      Alonso López, Javier; Torres Viñals, Jordi; Gavaldà Mestre, Ricard (IARIA, 2009)
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      Traditionally, performance has been the most important metrics when evaluating a system. However, in the last decades industry and academia have been paying increasing attention to another metric to evaluate servers: ...
    • PyCOMPSs: Parallel computational workflows in Python 

      Tejedor, Enric; Becerra Fontal, Yolanda; Alomar, Guillem; Queralt Calafat, Anna; Badia Sala, Rosa Maria; Torres Viñals, Jordi; Cortés, Toni; Labarta Mancho, Jesús José (2017-01-01)
      Article
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      The use of the Python programming language for scientific computing has been gaining momentum in the last years. The fact that it is compact and readable and its complete set of scientific libraries are two important ...