Now showing items 1-11 of 11

    • A pipeline architecture for feature-based unsupervised clustering using multivariate time series from HPC jobs 

      Enes, Jonatan; Expósito, Roberto R.; Fuentes Rodríguez, Jose; López Cacheiro, Javier; Touriño, Juan (Elsevier B.V., 2023-05)
      [Abstract]: Time series are key across industrial and research areas for their ability to model behaviour across time, making them ideal for a wide range of use cases such as event monitoring, trend prediction or anomaly ...
    • Automated Approach for Accurate CPU Power Modelling 

      Maseda, Tomé; Enes, Jonatan; Expósito, Roberto R.; Touriño, Juan (IEEE, 2024)
      [Abstract]: Power supply is a limiting factor when increasing the computing capacity of supercomputers. As a consequence, power consumption has become one of the biggest challenges in the field of High Performance Computing ...
    • Automatic Rescaling and Tuning of Big Data Applications on Container-Based Virtual Environments 

      Enes, Jonatan (2020)
      [Resumo] As aplicacións Big Data actuais evolucionaron dun xeito significativo, dende fluxos de traballo baseados en procesamento por lotes ata outros máis complexos que poden requirir múltiples etapas de procesamento ...
    • BDEv 3.0: energy efficiency and microarchitectural characterization of Big Data processing frameworks 

      Veiga, Jorge; Enes, Jonatan; Expósito, Roberto R.; Touriño, Juan (Elsevier BV * North-Holland, 2018-09)
      [Abstract] As the size of Big Data workloads keeps increasing, the evaluation of distributed frameworks becomes a crucial task in order to identify potential performance bottlenecks that may delay the processing of large ...
    • BDWatchdog: real-time monitoring and profiling of Big Data applications and frameworks 

      Enes, Jonatan; Expósito, Roberto R.; Touriño, Juan (Elsevier BV * North-Holland, 2018-10)
      [Abstract] Current Big Data applications are characterized by a heavy use of system resources (e.g., CPU, disk) generally distributed across a cluster. To effectively improve their performance there is a critical need for ...
    • BDWatchdogFaaS: A Tool for Monitoring and Analysis of Functions-as-a-Service in Cloud Environment 

      Framil de Amorín, Manuel; Carpente, Mario; Fraga, David; Enes, Jonatan; Expósito, Roberto R.; Taboada, Guillermo L.; Touriño, Juan (Universidade da Coruña, Servizo de Publicacións, 2023)
      BDWatchdog is a framework to assist in the in-depth and real-time analysis of the execution of Big Data frameworks and applications. BDWatchdog was originally developed to monitor Hadoop ecosystems deployed on serverless ...
    • Big Data-Oriented PaaS Architecture with Disk-as-a-Resource Capability and Container-Based Virtualization 

      López Cacheiro, Javier; Expósito, Roberto R.; Touriño, Juan; Enes, Jonatan (Springer Netherlands, 2018-12)
      [Abstract] With the increasing adoption of Big Data technologies as basic tools for the ongoing Digital Transformation, there is a high demand for data-intensive applications. In order to efficiently execute such applications, ...
    • CPUPowerWatcher/Seer: Automated and Flexible CPU Power Modelling 

      Maseda, Tomé; Enes, Jonatan; Expósito, Roberto R.; Touriño, Juan (2024)
      Power supply is a key limitation when scaling supercomputing capabilities, making power consumption a major challenge in HPC field. To develop energy-efficient tools, it is essential to have an accurate power consumption ...
    • Power Budgeting of Big Data Applications in Container-based Clusters 

      Enes, Jonatan; Fieni, Guillaume; Expósito, Roberto R.; Rouvoy, Romain; Touriño, Juan (Institute of Electrical and Electronics Engineers, 2020-11-02)
      [Abstract] Energy consumption is currently highly regarded on computing systems for many reasons, such as improving the environmental impact and reducing operational costs considering the rising price of energy. Previous ...
    • Real-time resource scaling platform for Big Data workloads on serverless environments 

      Enes, Jonatan; Expósito, Roberto R.; Touriño, Juan (2020)
      The serverless execution paradigm is becoming an increasingly popular option when workloads are to be deployed in an abstracted way, more specifically, without specifying any infrastructure requirements. Currently, such ...
    • Serverless-like platform for container-based YARN clusters 

      Castellanos Rodríguez, Óscar; Expósito, Roberto R.; Enes, Jonatan; Taboada, Guillermo L.; Touriño, Juan (Elsevier, 2024-06)
      [Abstract]: Serverless computing is an emerging paradigm that has gained a lot of relevance in recent years, as it allows users to consume computing resources without worrying about the underlying infrastructure and pay ...