Sergio López-HuguetUniversitat Politècnica de València | UPV · Institute for Molecular Imaging Technologies (I3M)
Sergio López-Huguet
Ph.D. in Computer Science
About
5
Publications
994
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
17
Citations
Introduction
Sergio López-Huguet received his PhD in Computer Science and his M.Sc. in Computer Engineering from Universitat Politècnica de València (UPV) in 2021 and 2017, and his B.Sc. in Computational Mathematics from Universitat Jaume I (UJI) in 2015. In 2016, he joined the Grid and High-Performance Computing Group (GRyCAP) in the Institute of Instrumentation for Molecular Imaging at the UPV. His broad research interests are Cloud Computing, container management, scientific computing and Medical Imaging.
Publications
Publications (5)
This article describes the development of an automated configuration of a software platform for Data Analytics that supports horizontal and vertical elasticity to guarantee meeting a specific deadline. It specifies all the components, software dependencies and configurations required to build up the cluster, and analyses the deployment times of dif...
Marathon and Chronos are two popular Mesos frameworks widely used for deploying fault-tolerant services and periodic batch jobs. Marathon and Chronos provide mechanisms for horizontal elasticity, scaling up and down the number of job and service instances. Horizontal elasticity is appropriate when the problems that are solved are inherently paralle...
This paper describes an approach to integrate the jobs management of High Performance Computing (HPC) infrastructures in cloud architectures by managing HPC workloads seamlessly from the cloud job scheduler. The paper presents hpc-connector, an open source tool that is designed for managing the full life cycle of jobs in the HPC infrastructure from...
Hoy en día, los entornos computaciones son clave en las titulaciones STEM, dado que mejoran significativamente sus procesos de enseñanza-aprendizaje. Por ello, las universidades buscan la racionalización de las infraestructuras de cómputo que dan soporte a dichos entornos, con el objetivo de abaratar su coste (adquisición y mantenimiento). En este...
Digital Medical Imaging is increasingly being used in clinical routine and research. As a consequence, the workload in medical imaging departments in hospitals has multiplied by over 20 in the last decade. Medical Image processing requires intensive computing resources not available at hospitals, but which could be provided by public clouds. The ar...
Projects
Projects (2)
In this context, INDIGO-DataCloud (INtegrating Distributed data Infrastructures for Global ExplOitation), a project funded under the Horizon2020 framework program of the European Union, aims at developing a data and computing platform targeting scientific communities, deployable on multiple hardware and provisioned over hybrid (private or public) e-infrastructures. By filling existing gaps in PaaS and SaaS levels, INDIGO-DataCloud will help developers, resources providers, e-infrastructures and scientific communities to overcome current challenges in the Cloud computing, storage and network areas.
EUBra-BIGSEA will provide an Integrated, Elastic and Dynamic Big Data Cloud Platform to address Knowledge Discovery by tackling Data Volume, Variety, Velocity and Veracity issues as well as privacy, security and QoS challenges.
