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.
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Articles de revista [13]
Recent Submissions
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Technological layer
(The Institution of Engineering and Technology, 2020-10)
Part of book or chapter of book
Restricted access - publisher's policyThis chapter describes the fundamental characteristics of Complementary Metal-Oxide-Semiconductor (CMOS) technology, and how it can be assessed for system reliability studies. After some definitions, the dominating ... -
Platform-agnostic steal-time measurement in a guest operating system
(2018-10)
External research report
Open AccessSteal time is a key performance metric for applications executed in a virtualized environment. Steal time measures the amount of time the processor is preempted by code outside the virtualized environment. This, in turn, ... -
2D error correction for F/F based arrays using in-situ Real-Time Error Detection (RTD)
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Conference lecture
Open AccessThis work proposes in-situ Real-Time Error Detection (RTD): embedding hardware in a memory array for detecting a fault in the array when it occurs, rather than when it is read. RTD breaks the serialization between data ... -
Deep neural networks for earthquake detection and source region estimation in north-central Venezuela
(2020-10-01)
Article
Open AccessReliable earthquake detection algorithms are necessary to properly analyze and catalog the continuously growing seismic records. We report the results of applying a deep convolutional neural network, called UPC‐UCV ... -
Random forest parameterization for earthquake catalog generation
(Springer, 2020)
Conference report
Open AccessAn earthquake is the vibration pattern of the Earth’s crust induced by the sliding of geological faults. They are usually recorded for later studies. However, strong earthquakes are rare, small-magnitude events may pass ... -
Privacy preserving deep learning framework in fog computing
(Springer, 2020)
Conference report
Open AccessNowadays, the widespread use of mobile devices has raised serious cybersecurity challenges. Mobile services and applications use deep learning (DL) models for the modelling, classification and recognition of complex data, ... -
Securing RSA hardware accelerators through residue checking
(2021-01)
Article
Restricted access - publisher's policyCircuits for the hardware acceleration of cryptographic algorithms are ubiquitously deployed in consumer and industrial products. Although being secure from a mathematical point of view, such accelerators may expose several ... -
The RECIPE approach to challenges in deeply heterogeneous high performance systems
(2020-09)
Article
Restricted access - publisher's policyRECIPE (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 ... -
Lightweight protection of cryptographic hardware accelerators against differential fault analysis
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Conference report
Open AccessHardware acceleration circuits for cryptographic algorithms are largely deployed in a wide range of products. The HW implementations of such algorithms often suffer from a number of vulnerabilities that expose systems to ... -
Towards resilient EU HPC systems: A blueprint
(2020-04)
External research report
Open AccessThis document aims to spearhead a Europe-wide discussion on HPC system resilience and to help the European HPC community define best practices for resilience. We analyse a wide range of state-of-the-art resilience mechanisms ... -
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 ...
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