A5087757953- Distributed and Parallel Computing Systems
- Advanced Data Storage Technologies
- Scientific Computing and Data Management
- Cloud Computing and Resource Management
- Parallel Computing and Optimization Techniques
- IoT and Edge/Fog Computing
- Software Engineering Research
- Software Reliability and Analysis Research
- Distributed systems and fault tolerance
- Caching and Content Delivery
- Software System Performance and Reliability
- Computational Physics and Python Applications
- Atmospheric and Environmental Gas Dynamics
- Software Testing and Debugging Techniques
- Service-Oriented Architecture and Web Services
- Peer-to-Peer Network Technologies
- Particle Detector Development and Performance
- Cloud Computing and Remote Desktop Technologies
- Network Security and Intrusion Detection
- Access Control and Trust
- Research Data Management Practices
- Privacy-Preserving Technologies in Data
- Anomaly Detection Techniques and Applications
- Cardiac Arrest and Resuscitation
- Engineering Education and Technology
Istituto Nazionale di Fisica Nucleare, Centro Nazionale Analisi Fotogrammi
2010-2024
Istituto Nazionale di Fisica Nucleare, Sezione di Bologna
2011-2024
Cineca
2024
Fondazione ICSC Centro Nazionale di Ricerca in High Performance Computing, Big Data e Quantum Computing
2024
Istituto Nazionale di Fisica Nucleare
2011-2023
University of Bologna
2022-2023
Istituto Nazionale di Fisica Nucleare, Sezione di Perugia
2020
Istituto Nazionale di Fisica Nucleare, Sezione di Torino
2018
Istituto Nazionale di Fisica Nucleare, Sezione di Bari
2008
Stanford University
2000
This paper describes the achievements of H2020 project INDIGO-DataCloud. The has provided e-infrastructures with tools, applications and cloud framework enhancements to manage demanding requirements scientific communities, either locally or through enhanced interfaces. middleware developed allows federate hybrid resources, easily write, port run cloud. In particular, we have extended existing PaaS (Platform as a Service) solutions, allowing public private e-infrastructures, including those...
We develop a novel database Alpha&ESMhFolds which allows the direct comparison of AlphaFold2 and ESMFold predicted models for 42,942 proteins Reference Human Proteome, when available, their with 2,900 directly associated PDB structures at least structure to sequence coverage 70%. Statistics indicate that good quality tend overlap TM-score >0.6 as long some structural information is available. As expected, model superimposition highlights are slightly superior ones. However, 55% endowed...
In this paper we describe the architecture of a Platform as Service (PaaS) oriented to computing and data analysis. order clarify choices made, explain features using practical examples, applied several known usage patterns in area HEP computing. The proposed is devised provide researchers with unified view distributed infrastructures, focusing facilitating seamless access. respect able profit from most recent developments for processing large amounts data, exploit current storage...
In the prospect of employing 10 Gigabit Ethernet as networking technology for online systems and offline data analysis centers High Energy Physics experiments, we performed a series measurements on performance Ethernet, using network interface cards mounted PCI-Express bus commodity PCs both transmitters receivers. real operating conditions, achievable maximum transfer rate through link is not only limited by capacity itself, but also that memory peripheral buses ability CPUs Operating...
INFN CNAF is the National Computing Center, located in Bologna, Italy, of Italian Institute for Nuclear Physics (INFN). CNAF, also called Tier-1, provides computing and storage facilities to International High-Energy community several multi-disciplinary experiments. Currently, Tier-1 supports more than twenty different collaborations; this context, optimization usage resources essential. This one main drivers behind development a software WNoDeS (Worker Nodes on Demand Service).
ICSC (“Italian Center for SuperComputing”) is one of the five Italian National Centres created within framework NextGenerationEU funding by European Commission. The aim ICSC, designed and approved through 2022 eventually started in September 2022, to create national digital infrastructure research innovation, leveraging existing HPC, HTC Big Data infrastructures evolving towards a cloud data-lake model. It will be available scientific industrial communities flexible uniform web interfaces...
Anomaly detection in data center IT and physical infrastructure is challenging due to the amount of heterogeneous be analyzed. Defining a solution that early identifies unexpected anomalies particularly important prevent losses, breakdown system, any other event considered critical for activity center. In context INFN CNAF center, one WLCG Tier-1s, we have performed study based on monitored cooling, electrical, hardware software metrics identify anomalies. present work, aim explore...
Performance, reliability and scalability in data-access are key issues the context of computing Grid High Energy Physics data processing analysis applications, particular considering large size I/O load that a Large Hadron Collider centre has to support. In this paper we present technical details results scale validation performance measurement employing different platforms-namely CASTOR, dCache, GPFS Scalla/Xrootd. The tests have been performed at CNAF Tier-1, central facility Italian...
Minimising time and cost is key to exploit private or commercial clouds. This can be achieved by increasing setup operational efficiencies. The success sustainability are thus obtained reducing the learning curve, as well of managing community-specific services running on distributed environments. greater beneficiaries this approach communities willing opportunistic cloud resources. DODAS builds several EOSC-hub developed INDIGO-DataCloud project allows instantiate on-demand container-based...
Distributed Computing Infrastructures have dedicated mechanisms to provide user communities with computational environments. While in the last decade Grid has demonstrated be a powerful paradigm supporting scientific research, complexity of experience still limits its adoption by unskilled communities. Command line interfaces, X.509 certificates, template customization for job submission and data access tools require end-users dedicate significant learning effort thus represent barrier...
A case study on climate models intercomparison data analysis addressing several classes of multi-model experiments is being implemented in the context EU H2020 INDIGO-DataCloud project. Such require availability large amount (multi-terabyte order) related to output simulations as well exploitation scientific management tools for large-scale analytics. More specifically, paper discusses detail a use precipitation trend terms requirements, architectural design solution, and infrastructural...
Are grids and clouds different solutions to the same problems? Or are they simply aspects of solution? maybe independent or complementary? Can should be used together is one a replacement for other? Starting from most accepted definitions clouds, this presentation describes main differences commonalities between two models typical scenarios where can even merged into common set technologies services. The talk gives an overview work being done in various contexts make interoperable...
The Grid infrastructures, such as the one provided by European Infrastructure, represent suitable solutions to achieve cost effective computational power. However, these present users some challenges, i.e. create a customized computing environment and its management.For this reason Cloud-like approach is for certain applications more than pure one.In paper, we propose an based on WNoDeS- Worker Nodes Demand Service - exploit both storage power of flexibility Cloud paradigm. This...
Performing efficient resource provisioning is a fundamental aspect for any provider. Local Resource Management Systems (LRMS) have been used in data centers decades order to obtain the best usage of resources, providing their fair and partitioning users. In contrast, current cloud schedulers are normally based on immediate allocation resources first-come, first-served basis, meaning that request will fail if there no (e.g. OpenStack) or it be trivially queued ordered by entry time...
Dynamic On Demand Analysis Service (DODAS) is a Platform as tool built combining several solutions and products developed by the INDIGO-DataCloud H2020 project. DODAS allows to instantiate on-demand container-based clusters. Both HTCondor batch system platform for Big Data analysis based on Spark, Hadoop etc, can be deployed any cloud-based infrastructures with almost zero effort. acts cloud enabler designed scientists seeking easily exploit distributed heterogeneous clouds process data....
The four High Energy Physics (HEP) detectors at the Large Hadron Collider (LHC) European Organization for Nuclear Research (CERN) are among most important experiments where National Institute of (INFN) is being actively involved. A Grid infrastructure World LHC Computing (WLCG) has been developed by HEP community leveraging on broader initiatives (e.g. EGEE in Europe, OSG northen America) as a framework to exchange and maintain data storage provide computing entire community. INFN-CNAF...
While starting to use the Grid in production, applications have begun request implementation of complex policies regarding resources. Some Virtual Organizations (VOs) want divide their users different priority brackets and classify resources classes, others instead do not need advanced setups are satisfied considering all equal. Resource managers work for enabling these requirements on site, addition necessary implement resources, ensure compliance with Acceptable Use Policies. These end up...
Cloud computing is perceived as the next wave of ICT, and many real experiences are on commercial scene. However this kind architecture has open legal issues which makes it an endeavor for Public Administrations, despite its potential impact efficiency, effectiveness transparency administrative initiatives. In present paper we experience made in deployment a solution Regione Marche Local Administration, represents one pilot at Nationallevel.
A recent trend in scientific computing is the increasingly important role of co-processors, originally built to accelerate graphics rendering, and now used for general high-performance computing. The INFN Computing On Knights Kepler Architectures (COKA) project focuses on assessing suitability co-processor boards a wide range physics applications, studying best programming methodologies these systems. Here we present comparative way our results porting Lattice Boltzmann code two...
Abstract DODAS stands for Dynamic On Demand Analysis Service and is a Platform as toolkit built around several EOSC-hub services designed to instantiate configure on-demand container-based clusters over public or private Cloud resources. It automates the whole workflow from service provisioning configuration setup of software applications. Therefore, such solution allows using “any cloud provider”, with almost zero effort. In this paper, we demonstrate how can be adopted deployment manager...
In the framework of H2020 INDIGO-DataCloud project, we have implemented an advanced solution for automatic deployment digital data repositories based on Invenio, library developed by CERN. Exploiting cutting-edge technologies, such as Docker and Apache Mesos, standard specifications to describe application architectures TOSCA, are able provide a service that simplifies process creating managing various assets using cloud resources. An Invenio-based repository consists set services (e.g....
The BondMachine (BM) is an innovative prototype software ecosystem aimed at creating facilities where both hardware and are co-designed, guaranteeing a full exploitation of fabric capabilities (both in terms concurrency heterogeneity) with the smallest possible power dissipation. In present paper we will provide technical overview key aspects toolkit, highlighting advancements brought about by porting Go code hardware. We then show cloud-based BM as Service deployment. Finally, focus on...