Davide Salomoni
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View article: Dynamic and static analysis of environmental variables in coronavirus spread
Dynamic and static analysis of environmental variables in coronavirus spread Open
Although a worldwide health crisis, the COVID-19 pandemic affected several geographical areas in Italy in very different ways in terms of infection rate, morbidity, and death. In the present work, we carefully studied the incidence rate in…
View article: Dynamic and Static Analysis of Environmental Variables in Coronavirus Spread
Dynamic and Static Analysis of Environmental Variables in Coronavirus Spread Open
Although a worldwide health crisis, the COVID-19 pandemic affected several geographical areas in Italy in very different ways in terms of infection rate, morbidity, and death. In the present work, we carefully studied the incidence rate in…
View article: Alpha&ESMhFolds: A Web Server for Comparing AlphaFold2 and ESMFold Models of the Human Reference Proteome
Alpha&ESMhFolds: A Web Server for Comparing AlphaFold2 and ESMFold Models of the Human Reference Proteome Open
View article: POSIX access to remote storage via OpenID Connect
POSIX access to remote storage via OpenID Connect Open
INFN-CNAF is one of the Worldwide Large Hadron Collider Computing Grid (WLCG) Tier-1 data centers, providing support in terms of computing, networking, storage resources and services also to a wide variety of scientific collaborations, ran…
View article: Scalable training on scalable infrastructures for programmable hardware
Scalable training on scalable infrastructures for programmable hardware Open
Machine learning (ML) and deep learning (DL) techniques are increasingly influential in High Energy Physics, necessitating effective computing infrastructures and training opportunities for users and developers, particularly concerning pro…
View article: ICSC: The Italian National Research Centre on HPC, Big Data and Quantum computing
ICSC: The Italian National Research Centre on HPC, Big Data and Quantum computing Open
ICSC (“Italian Center for SuperComputing”) is one of the five Italian National Centres created within the framework of the NextGenerationEU funding by the European Commission. The aim of ICSC, designed and approved through 2022 and eventua…
View article: Anomaly Detection in Data Center IT & Physical Infrastructure
Anomaly Detection in Data Center IT & Physical Infrastructure Open
Anomaly detection in data center IT and physical infrastructure is challenging due to the amount of heterogeneous data to be analyzed. Defining a solution that early identifies unexpected anomalies is particularly important to prevent data…
View article: INFN and the evolution of distributed scientific computing in Italy
INFN and the evolution of distributed scientific computing in Italy Open
INFN has been running a distributed infrastructure (the Tier-1 at Bologna-CNAF and 9 Tier-2 centres) for more than 20 years which currently offers about 150000 CPU cores and 120 PB of space both in tape and disk storage, serving more than …
View article: INFN Cloud Users and Projects Support, Training and Communication
INFN Cloud Users and Projects Support, Training and Communication Open
Having a long tradition in state-of-the-art distributed IT technologies, in the last couple of years INFN made available to its users “INFN Cloud”: a cloud infrastructure and related services portfolio dedicated to the scientific communiti…
View article: Anomaly Detection in Data Center IT Infrastructure using Natural language Processing and Time Series Solutions
Anomaly Detection in Data Center IT Infrastructure using Natural language Processing and Time Series Solutions Open
Data centers house IT and physical infrastructures to support researchers in transmitting, processing and exchanging data and provide resources and services with a high level of reliability. Through the usage of infrastructure observabilit…
View article: An open source blockchain as a service solution for health science applications
An open source blockchain as a service solution for health science applications Open
The use of big data in the field of omics and biomedical studies is the enabling factor for finding new insights with sufficient statistical confidence. When dealing with such data, several issues have to be addressed, related to the perso…
View article: Scalable training on scalable infrastructures for programmable hardware
Scalable training on scalable infrastructures for programmable hardware Open
\nMachine learning (ML) and deep learning (DL) techniques are increasingly influential in High Energy Physics, necessitating effective computing infrastructures and training opportunities for users and developers, particularly concerning p…
View article: Leveraging TOSCA orchestration to enable fully automated cloud-based research environments on federated heterogeneous e-infrastructures
Leveraging TOSCA orchestration to enable fully automated cloud-based research environments on federated heterogeneous e-infrastructures Open
Cloud computing has offered many opportunities for scientific research, allowing for easy scaling and adapting to new software development methods. However, the lack of integration of existing infrastructures and the consequent fragmentati…
View article: A dynamic and extensible web portal enabling the deployment of scientific virtual computational environments on hybrid e-infrastructures
A dynamic and extensible web portal enabling the deployment of scientific virtual computational environments on hybrid e-infrastructures Open
For the past ten years, INFN has been investing heavily in developing solutions to enable transparent access to a multi-site federated Cloud infrastructure. A main goal is to provide a generic model to allow INFN users fair and simple …
View article: Accelerating Machine Learning inference using FPGAs: the PYNQ framework tested on an AWS EC2 F1 Instance
Accelerating Machine Learning inference using FPGAs: the PYNQ framework tested on an AWS EC2 F1 Instance Open
In the past few years, using Machine and Deep Learning techniques has become more and more viable, thanks to the availability of tools which allow people without specific knowledge in the realm of data science and complex networks to build…
View article: Open-source and cloud-native solutions for managing and analyzing heterogeneous and sensitive clinical Data
Open-source and cloud-native solutions for managing and analyzing heterogeneous and sensitive clinical Data Open
The requirement for an effective handling and management of heterogeneous and possibly confidential data continuously increases within multiple scientific domains. PLANET (Pollution Lake ANalysis for Effective Therapy) is a INFN-funded res…
View article: Machine Learning inference using PYNQ environment in a AWS EC2 F1 Instance
Machine Learning inference using PYNQ environment in a AWS EC2 F1 Instance Open
In the past few years, using Machine and Deep Learning techniques has become more and more viable, thanks to the availability of tools which make the need of specific knowledge in the realm of data science and complex networks less vital t…
View article: Enhancing the impact of Artificial Intelligence in Medicine: A joint AIFM-INFN Italian initiative for a dedicated cloud-based computing infrastructure
Enhancing the impact of Artificial Intelligence in Medicine: A joint AIFM-INFN Italian initiative for a dedicated cloud-based computing infrastructure Open
View article: First experiences with a portable analysis infrastructure for LHC at INFN
First experiences with a portable analysis infrastructure for LHC at INFN Open
The challenges proposed by the HL-LHC era are not limited to the sheer amount of data to be processed: the capability of optimizing the analyser's experience will also bring important benefits for the LHC communities, in terms of total res…
View article: Using DODAS as deployment manager for smart caching of CMS data management system
Using DODAS as deployment manager for smart caching of CMS data management system Open
DODAS stands for Dynamic On Demand Analysis Service and is a Platform as a Service toolkit built around several EOSC-hub services designed to instantiate and configure on-demand container-based clusters over public or private Cloud resourc…
View article: Software Quality Assurance in INDIGO-DataCloud Project: a Converging Evolution of Software Engineering Practices to Support European Research e-Infrastructures
Software Quality Assurance in INDIGO-DataCloud Project: a Converging Evolution of Software Engineering Practices to Support European Research e-Infrastructures Open
View article: Lessons Learned from the Assessment of Software Defect Prediction on WLCG Software: A Study with Unlabelled Datasets and Machine Learning Techniques
Lessons Learned from the Assessment of Software Defect Prediction on WLCG Software: A Study with Unlabelled Datasets and Machine Learning Techniques Open
Software defect prediction is an activity that aims at narrowing down the most likely defect-prone software modules and helping developers and testers to prioritize inspection and testing. This activity can be addressed by using Machine Le…
View article: The DODAS Experience on the EGI Federated Cloud
The DODAS Experience on the EGI Federated Cloud Open
The EGI Cloud Compute service offers a multi-cloud IaaS federation that brings together research clouds as a scalable computing platform for research accessible with OpenID Connect Federated Identity. The federation is not limited to singl…
View article: Dynamic integration of distributed, Cloud-based HPC and HTC resources using JSON Web Tokens and the INDIGO IAM Service
Dynamic integration of distributed, Cloud-based HPC and HTC resources using JSON Web Tokens and the INDIGO IAM Service Open
In the past couple of years, we have been actively developing the Dynamic On-Demand Analysis Service (DODAS) as an enabling technology to deploy container-based clusters over hybrid, private or public, Cloud infrastructures with almost zer…
View article: Machine Learning Techniques for Software Analysis of Unlabelled Program Modules
Machine Learning Techniques for Software Analysis of Unlabelled Program Modules Open
Machine Learning (ML) has proven to be of great value in a variety of Software Engineering (SE) tasks to conduct, e.g., software defect prediction and estimation and test code generation. To accomplish these tasks, software datasets (i.e. …
View article: The BondMachine toolkit: Enabling Machine Learning on FPGA
The BondMachine toolkit: Enabling Machine Learning on FPGA Open
The BondMachine (BM) is an innovative prototype software ecosystem aimed at creating facilities where both hardware and software are co-designed, guaranteeing a full exploitation of fabric capabilities (both in terms of concurrency and het…
View article: Exploiting private and commercial clouds to generate on-demand CMS computing facilities with DODAS
Exploiting private and commercial clouds to generate on-demand CMS computing facilities with DODAS Open
Minimising time and cost is key to exploit private or commercial clouds. This can be achieved by increasing setup and operational efficiencies. The success and sustainability are thus obtained reducing the learning curve, as well as the op…
View article: Digital repository as a service: automatic deployment of an Invenio-based repository using TOSCA orchestration and Apache Mesos
Digital repository as a service: automatic deployment of an Invenio-based repository using TOSCA orchestration and Apache Mesos Open
In the framework of the H2020 INDIGO-DataCloud project, we have implemented an advanced solution for the automatic deployment of digital data repositories based on Invenio, the digital library framework developed by CERN. Exploiting cuttin…
View article: DODAS: How to effectively exploit heterogeneous clouds for scientific computations
DODAS: How to effectively exploit heterogeneous clouds for scientific computations Open
Dynamic On Demand Analysis Service (DODAS) is a Platform as a Service tool built combining several solutions and products developed by the INDIGO-DataCloud H2020 project. DODAS allows to instantiate on-demand container-based clusters. Both…
View article: INDIGO-DataCloud: a Platform to Facilitate Seamless Access to E-Infrastructures
INDIGO-DataCloud: a Platform to Facilitate Seamless Access to E-Infrastructures Open