VIRTUOS - Virtualisation and Operating Systems
Recerca en optimització de sistemes operatius i tecnologies de virtualització, especialment tecnologies de virtualització lleugera com contenidors i unikernels. El grup de recerca està format per un equip interdisciplinar amb perfils complementaris que cobreixen un gran ventall de especialitzacions i amb àrees de interès aplicades a diversos entorns, com ara datacenters, cyber-physical systems i edge computing. Aquestes àrees d’interès són principalment optimització en la gestió de recursos hardware i software, tant per part del sistema operatiu com per part dels elements virtualitzats, tecnologies de privacitat i seguretat, metodologies de fiabilitat i resiliència i models matemàtics per caracteritzar i optimitzar parts del sistema.
Investigación en optimización de sistemas operativos y tecnologías de virtualización, especialmente tecnologías de virtualización ligera como contenedores y unikernels. El grupo de investigación está formado por un equipo interdisciplinar con perfiles complementarios que cubren un gran abanico de especializaciones y con áreas de interés aplicadas a diversos entornos, tales como datacenters, cyber-physical Systems y edge computing. Estas áreas de interés son principalmente optimización en la gestión de recursos hardware y software, tanto por parte del sistema operativo como por parte de los elementos virtualizados, tecnologías de privacidad y seguridad, metodologías de fiabilidad y resiliencia y modelos matemáticos para caracterizar y optimizar partes del sistema.
Research aimed at optimization of Operating Systems and virtualization technologies, especially lightweight virtualization technologies such as containers and unikernels. The research group comprises interdisciplinary members with complementary skills that meet a wide range of specializations and with areas of interest targeting different environments, like datacenters, cyber-physical systems and edge computing. These areas of interest are mainly optimization of hardware and software resource management, whether on the part of operating system or on the part of virtualized elements, privacy and security technologies, methodologies of reliability and resiliency and mathematic models to characterize and optimize parts of the system.
Research aimed at optimization of Operating Systems and virtualization technologies, especially lightweight virtualization technologies such as containers and unikernels. The research group comprises interdisciplinary members with complementary skills that meet a wide range of specializations and with areas of interest targeting different environments, like datacenters, cyber-physical systems and edge computing. These areas of interest are mainly optimization of hardware and software resource management, whether on the part of operating system or on the part of virtualized elements, privacy and security technologies, methodologies of reliability and resiliency and mathematic models to characterize and optimize parts of the system.
Collections in this community
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Articles de revista [10]
Recent Submissions
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Predictive reliability and fault management in exascale systems: State of the art and perspectives
(2020-09)
Article
Open AccessPerformance and power constraints come together with Complementary Metal Oxide Semiconductor technology scaling in future Exascale systems. Technology scaling makes each individual transistor more prone to faults and, due ... -
A cost-efficient QoS-aware analytical model of future software content delivery networks
(2020-08-31)
Article
Restricted access - publisher's policyFreelance, part-time, work-at-home, and other flexible jobs are changing the concept of workplace, and bringing information and content exchange problems to companies. Geographically spread corporations may use remote ... -
Alternating direction implicit time integrations for finite difference acoustic wave propagation: parallelization and convergence
(Elsevier, 2020-06-15)
Article
Restricted access - publisher's policyThis work studies the parallelization and empirical convergence of two finite difference acoustic wave propagation methods on 2-D rectangular grids, that use the same alternating direction implicit (ADI) time integration. ... -
On the use of probabilistic worst-case execution time estimation for parallel applications in high performance systems
(Multidisciplinary Digital Publishing Institute (MDPI), 2020-03-01)
Article
Open AccessSome high performance computing (HPC) applications exhibit increasing real-time requirements, which call for effective means to predict their high execution times distribution. This is a new challenge for HPC applications ... -
Long short-term memory networks for earthquake detection in Venezuelan regions
(Springer, 2019)
Conference lecture
Open AccessReliable earthquake detection and location algorithms are necessary to properly catalog and analyze the continuously growing seismic records. This paper reports the results of applying Long Short-Term Memory (LSTM) networks ... -
Protecting RSA hardware accelerators against differential fault analysis through residue checking
(Institute of Electrical and Electronics Engineers (IEEE), 2019)
Conference report
Open AccessHardware accelerators for cryptographic algorithms are ubiquitously deployed in nowadays consumer and industrial products. Unfortunately, the HW implementations of such algorithms often suffer from vulnerabilities that ... -
Challenges in deeply heterogeneous high performance systems
(Institute of Electrical and Electronics Engineers (IEEE), 2019)
Conference report
Open AccessRECIPE (REliable power and time-ConstraInts-aware Predictive management of heterogeneous Exascale systems) is a recently started project funded within the H2020 FETHPC programme, which is expressly targeted at exploring ... -
Distributed training of deep neural networks with spark: The MareNostrum experience
(Elsevier, 2019-07-01)
Article
Restricted access - publisher's policyDeployment of a distributed deep learning technology stack on a large parallel system is a very complex process, involving the integration and configuration of several layers of both, general-purpose and custom software. ... -
Artificial neural networks as emerging tools for earthquake detection
(2019)
Article
Open AccessAs seismic networks continue to spread and monitoring sensors become more ef¿cient, the abundance of data highly surpasses the processing capabilities of earthquake interpretation analysts. Earthquake catalogs are fundamental ... -
SyRA: early system reliability analysis for cross-layer soft errors resilience in memory arrays of microprocessor systems
(Institute of Electrical and Electronics Engineers (IEEE), 2018-01-01)
Article
Open AccessCross-layer reliability is becoming the preferred solution when reliability is a concern in the design of a microprocessor-based system. Nevertheless, deciding how to distribute the error management across the different ... -
Modem gain-cell memories in advanced technologies
(Institute of Electrical and Electronics Engineers (IEEE), 2018)
Conference report
Open AccessWith the advent of the slowdown in DRAM capacitor scaling [1] and the increased reliability problems of traditional 6T SRAM memories [2], industry and academia have looked for alternative memory cells. Among those, gain- ... -
Optimization of FinFET-based gain cells for low power sub-vt embedded drams
(2018-06-01)
Article
Open AccessSub-threshold circuits (sub-V T) are a promising alternative in the implementation of low power electronics. The implementation of gain-cell embedded DRAMs (eDRAMs) based on FinFET devices requires a careful design to ...
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