Category: projects

Containerization applied to the experimentation and evaluation of microservices architectures, and dynamic orchestration solutions

Containerization applied to the experimentation and evaluation of microservices architectures, and dynamic orchestration solutions

Department of Mathematics of the University of Padua At the Department of Mathematics, the people I work with are interested in containerization applied to the experimentation and evaluation of microservices architectures, as well as dynamic orchestration solutions. On the first front, at CloudVeneto, we have generally found the environment and technological tools of the OpenStack ecosystem to be adequate and sufficient. On the second front, we are still taking our first steps, but we will soon need to compare different state-of-the-art orchestration solutions and subject them to various load scenarios to evaluate their effectiveness in programming rules and actions for elastic reconfiguration. Prof. Tullio Vardanega

Simulations of charge transport via hopping in lithium niobate

Simulations of charge transport via hopping in lithium niobate

Department of Physics and Astronomy of the University of Padua At the moment, we are using virtual machines to conduct systematic Monte Carlo simulations dedicated to the study of materials for applications in the field of photonics. The simulations aim to reproduce charge transport in lithium niobate while varying the concentration of defects in the material, temperature, and other microscopic parameters. These simulations require between one and two weeks of computation as a large statistic is necessary to obtain good results. For us, the most important functionality at the moment is the ability to run a simulation with a different parameter configuration on each virtual machine in order to minimize the time for this study. Dott. Laura Vittadello, Dott. Marco Bazzan  

Simulations of complex networks

Simulations of complex networks

Department of Information Engineering of the University of Padua The SIGNET group of the Department of Information Engineering uses the CloudVeneto platform to carry out simulations of complex networks. In particular, one project involves testing underwater communication protocols through the transmission of acoustic and optical waves. The platform allows running multiple instances of the ns2-miracle simulator, which has been implemented with a module (DESERT Underwater) enabling the reproduction of the effects of acoustic and optical signal propagation in an underwater environment. The complexity of the model requires significant computational and memory resources that can be allocated on demand within the CloudVeneto platform. A second project involves simulating protocols for millimeter-wave (mmWave) radio communications, operating at extremely high frequencies (GHz). In this case, the opportunity to integrate the ns-3 network simulator with some protocols available for the Linux operating system, but not yet implemented in ns-3 (for example, some recent versions of TCP), has been exploited. Thanks to the computational resources available on CloudVeneto, it was possible to increase the realism and complexity of the simulated scenarios. The most appreciated aspect is the autonomous management of virtual machines. Dott. Andrea Zanella

Study of beauty quark production in proton-proton collisions at the LHC collider​

Study of beauty quark production in proton-proton collisions at the LHC collider​

INFN Section of Padua and Department of Physics and Astronomy of the University of Padua The LHCb group of the G. Galilei Department and the Padua Section of INFN is involved in the study of beauty quark production in proton-proton collisions at the LHC collider. Beauty quarks are identified through the exclusive reconstruction of mesons and baryons containing the beauty quark, such as neutral Bs mesons, or inclusively by identifying jets produced from the hadronization of a beauty quark. Both techniques require sophisticated algorithms, including boosted decision trees or deep neural networks. Once developed, these algorithms are applied to a significant amount of events to isolate the signal of interest in the physical data. For all these operations, which demand substantial computing resources, as well as for data storage, CloudVeneto resources are extensively utilized. Dott. Alessandro Bertolin

Multiparticle simulation of high intensity injectors ​

Multiparticle simulation of high intensity injectors ​

INFN Laboratori Nazionali di Legnaro New upgrade and application of the high intensity accelerators (e.g. Linac4, Fermilab, IFMIF, ESS) require multi-particle simulation of Columbian interactive system with demanding computing powers. The possibility to include new phenomena such as the secondary plasma evolution, generation and interaction with the primary beam in the beam dynamics calculation, is essential to understand the complex physics of these machines. We are currently involved in the commissioning of the IFMIF-EVEDA prototype accelerator, the world leading accelerator of this type. We are using the Cloud to perform parallel simulations of the low energy transfer lines and source. Dott. Michele Comunian

Data Analysis of the MAGIC Experiment

Data Analysis of the MAGIC Experiment

INFN Section of Padua and Department of Physics and Astronomy of the University of Padua MAGIC is an experiment designed for the detection of very high-energy gamma rays, which are indicative of extremely violent processes in the universe, such as the mass falling into a black hole or stellar explosions. Very high-energy gamma rays (E > 50 GeV) can be detected from Earth, as they produce a cascade of particles when interacting with the atmosphere. This particle cascade generates a faint flash of Cherenkov light produced by particles traveling faster than light propagates through the atmosphere. The Cherenkov light is collected by enormous telescopes and focused onto a camera, producing an image of the cascade. Data analysis for the MAGIC experiment involves the three-dimensional reconstruction of the cascade based on Cherenkov images. The primary goal is to determine the direction and energy of the gamma ray that triggered the cascade. A constant and detailed simulation of both atmospheric cascades and the detector’s response under different data-taking conditions is crucial. Therefore, simulated data is continuously generated to validate the acquired experimental data. The analyses conducted by our group on CloudVeneto have been the subject of numerous scientific articles published in prestigious international journals. Among these articles, a recent significant contribution pertains to the association of a gamma-ray source with a neutrino event, marking the inception of new ‘multi-messenger’ astrophysics involving neutrinos. Prof. M. Mariotti