• Improving resource efficiency in virtualized datacenters 

      Amaral, Marcelo (Universitat Politècnica de Catalunya, 2019-04-29)
      Tesis
      Acceso abierto
      In recent years there has been an extraordinary growth of the Internet of Things (IoT) and its protocols. The increasing diffusion of electronic devices with identification, computing and communication capabilities is ...
    • Performance Characterization of Spark Workloads on Shared NUMA Systems 

      Baig, Shuja-ur-Rehman; Amaral, Marcelo; Polo, Jordà; Carrera, David (IEEE, 2018-07-09)
      Comunicación de congreso
      Acceso abierto
      As the adoption of Big Data technologies becomes the norm in an increasing number of scenarios, there is also a growing need to optimize them for modern processors. Spark has gained momentum over the last few years among ...
    • Performance characterization of spark workloads on shared NUMA Systems 

      Baig, Shuja-ur-Rehman; Amaral, Marcelo; Polo Cantero, José; Carrera Pérez, David (Institute of Electrical and Electronics Engineers (IEEE), 2018)
      Texto en actas de congreso
      Acceso abierto
      As the adoption of Big Data technologies becomes the norm in an increasing number of scenarios, there is also a growing need to optimize them for modern processors. Spark has gained momentum over the last few years among ...
    • Performance evaluation of microservices architectures using containers 

      Amaral, Marcelo; Polo Bardés, Jordà; Carrera Pérez, David; Mohomed, Iqbal; Unuvar, Merve; Steinder, Malgorzata (Institute of Electrical and Electronics Engineers (IEEE), 2015)
      Texto en actas de congreso
      Acceso abierto
      Microservices architecture has started a new trend for application development for a number of reasons: (1) to reduce complexity by using tiny services; (2) to scale, remove and deploy parts of the system easily; (3) to ...
    • Topology-aware GPU scheduling for learning workloads in cloud environments 

      Amaral, Marcelo; Polo Bardés, Jordà; Carrera, David; Seelam, Seetharami; Steinder, Malgorzata (Association for Computing Machinery (ACM), 2017-11)
      Comunicación de congreso
      Acceso abierto
      Recent advances in hardware, such as systems with multiple GPUs and their availability in the cloud, are enabling deep learning in various domains including health care, autonomous vehicles, and Internet of Things. Multi-GPU ...