The EU ESCAPE project is developing ESAP, ESFRI’s scientific analysis platform, as an API gateway that enables the seamless integration of independent services accessing distributed data and computing resources. At ESCAPE we are exploring the possibility of exploiting OpenStack EGI's cloud computing services through ESAP. As a use case, we are considering one of the studies known as Data...
To regain European competitiveness in Internet infrastructures, Europe cannot simply try to catch up with current Cloud hyperscalers: a bolder, forward-looking approach is needed.
Both Cloud technologies and IoT technologies have steadily moved towards a technical and business convergence often labelled as Cloud-Edge-IoT continuum, with Edge Computing becoming both the target and the...
Secondary school students learn about astroparticle physics in the scope of Open Science project of the Czech Academy of Sciences. Examples of analyses of open data published by Pierre Auger Observatory are provided on Kaggle platform. We compare this platform with local environment on desktop and with usage of EGI Jupyter notebooks. Effort to gain access, ease of use, stability, performance...
EGI Monitoring is the key service needed to gain insights into the Services that are part of the EGI Infrastructure. It is based on ARGO Monitoring Service that provides a flexible and scalable framework for monitoring status, availability and reliability of a wide range of services and is able to quickly detect, correlate, and analyze data for the detection of errors. Service Providers are...
The H2020 project Blue-Cloud is developing the thematic EOSC for ocean science, through a collaborative virtual environment to enhance FAIR and Open Science.
Blue-Cloud federated leading European marine Research Infrastructures and e-Infrastructures, allowing researchers to combine, reuse, and share quality data across disciplines and countries with their existing MarineID account.
The...
What exactly is cloud computing? Do they mean cloud as weather and then it could be over us, or does it mean processing power cloud and we are on it, hopping to get a special price for our request?
Or it does not matter anymore and cloud is a place on the Internet which could help us store, process or do any simulation online without knowing what is behind the process and action?
Anyway we...
Many institutions start having dedicated data stewards curate data in close collaboration with researchers who collect, compute or distribute the data (e.g. as part of supplementary material to a journal article). Contrary to traditional data dumps, this is a challenge for structured data in databases where data evolves over time as tuples are added in data streams, updated or deleted....
The Virtual Imaging Platform ([VIP][1]) leverages resources available in the EGI biomed Virtual Organisation to offer open services for medical image data analysis to academic researchers worldwide. VIP relies on [Boutiques][2] to facilitate application installation and sharing. Boutiques applications are installed through software containers described in a rich and flexible JSON...
In the framework of the EGI-ACE project, we are deploying the webODV application on EGI infrastructure at https://webodv-egi-ace.cloud.ba.infn.it/ and provide large temperature and salinity datasets from the SeaDataNet (https://www.seadatanet.org/) project and the international Argo (http://www.argo.net/) program. webODV is the online version of the widely used ODV (Ocean Data View,...
Modern data-intensive and compute-intensive science from all domains involves modelling and simulation at very high resolution for prediction and inference workflows. Given the complexity of the computing workflows and the data required by models which can vary from Gigabytes to Petabytes of information per day to be processed, the
ability to deploy ready to use tools that federate the...
Galaxy is a widely adopted workflow management system for bioinformatics, aiming to make computational biology accessible to research scientists that do not have computer programming or systems administration experience.
How can scientists connect this useful, reproducibility-oriented tool seamlessly with many data sources? How can they do so in a coherent way using different instances of...
iMagine is an EU-funded project providing a portfolio of image datasets, high-performance image analysis tools empowered with Artificial Intelligence (AI), and Best Practice documents for scientific image analysis ‘free at point of use’. These services and materials enable better and more efficient processing and analysis of imaging data in marine and freshwater research, accelerating our...
Effects of anthropogenic noise on marine species were already recognized as a threat by the United Nations. Therefore, considering the 14th development goal (conservation and sustainable use of the oceans and marine resources), the proper management and reduction of underwater noise is a relevant contribution to the aimed sustainable management and protection of marine and coastal ecosystems....
Academic infrastructures and institutions continuously develop new computing services to support research and education. These services are traditionally based on HPC batch systems and cloud services. Recently, a new computing paradigm based on containerization of applications has been adopted across the scientific community. Computations executed in containers are becoming increasingly...
A Recommender System (RS) is designed to suggest relevant content or products to users that might like or purchase. RS are growing more popular both commercially and in the research community, by offering personalized experiences to unique users. EOSC is also using a modern RS in EOSC Marketplace.
Measuring the success of a RS is a very important and laborious task. We introduce an...
The work aims to describe the architectural characteristics, and especially the local network, of a new hybrid cluster of 128 GPUs set up in the Data Center of the Monte Sant’Angelo complex of the "Federico II" University of Naples. Its hybrid features allow you to use its resources in different scenarios: from parallel computing, to GP-GPU accelerated workload, to their combinations. The...
Perun covers all technical and non-technical aspects of an Authentication and Authorization Infrastructure (AAI). The technical part is designed in a modular way, so it can be deployed as a standalone solution or can be incorporated into existing infrastructure. Different components provide technical solutions, as well as easy to use functions for dealing with non-technical features, like...
Education is becoming an increasingly important topic to help scientists work on photon and neutron sources. Other relevant areas such as advanced quantum technologies will also play a key role in the future. One of the goals of ExPaNDS (European Open Science Cloud (EOSC) Photon and Neutron Data Service) is to train research scientists in order to better understand the issues, methods and...
Many end users of climate change information often need specialized products to perform their research, impact study or data analysis. For example, climate indices, like the standard ones defined by ECA&D and ETCCDI, cover most of the general needs. However, datasets provided on the climate data infrastructure...
Background – VIP (the Virtual Imaging Platform) is a web portal for medical imaging (MI) data analysis (Glatard et al. 2013). By leveraging computational and storage resources from the EGI e-infrastructure, VIP provides MI researchers with end-user services to run MI applications on this large-scale computing infrastructure.
Research Issue – Medical imaging is facing a...
AI4PublicPolicy is a joint effort of policymakers and Cloud/AI experts to unveil AI’s potential for automated, transparent and citizen-centric development of public policies. To this end, the project will deliver a novel Open Cloud platform for automated, scalable, transparent and citizen-centric policy management. The AI4PublicPolicy platform, i.e. the Virtualized Policy Management...
The objective of this poster is to summarize the process of development of the JONAS VRE, which consisted of three main parts:
1. Capitalization requirements
2. Capitalization development
3. Legacy
For developing the capitalization requirements, we started by presenting the definition of VRE and its main characteristics. The four different steps described in the literature for VRE...
