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/.
webODV is the online version of the worldwide used Ocean Data View
Software (https://odv.awi.de). Within EGI-ACE we provide 13 ocean
datasets (Argo, BGC-Argo, SeaDataNet) summing up to 46 GB of data, for the
online analysis, extraction and...
Structural biology aims at characterizing the structural and dynamic properties of biological macromolecules at atomic details. Gaining insight into three dimensional structures of biomolecules and their interactions is critical for understanding the vast majority of cellular processes, with direct applications in health and food sciences. Since 2010, the WeNMR project (www.wenmr.eu) has...
The exponential increase in data volumes and complexities is causing a radical change in the scientific discovery process in several domains, including climate science. This affects the different stages of the data lifecycle, thus posing significant data management challenges in terms of data archiving, access, analysis, visualization, and sharing.
In the context of the European Open...
The INDIGO PaaS Orchestrator, available to research communities via the EOSC Marketplace, allows users to access distributed cloud compute and storage resources in a transparent and federated manner. With the Orchestrator, users can effortlessly deploy services without the burden of locating and configuring resources.
To further streamline the process, the Orchestrator Web Dashboard provides...
VIP (https://vip.creatis.insa-lyon.fr/) is an open web portal for medical simulation and image data analysis. By effectively leveraging the computing and storage resources of the EGI federation, VIP offers its users high-level services enabling them to easily execute medical imaging applications on a large scale computing infrastructure.
During this demo, we will show how easy it is to use...
The C-SCALE project has been federating compute and data resource providers around centralized EGI services, aiming at providing users with seamless access to processing capacities as well as source data for their analyses. Alongside the traditional IaaS and PaaS services, Jupyter Notebooks have been identified as an environment suitable not only for interactive analysis within C-SCALE, but...
The EGI Workload Manager Service (WMS) is based on the DIRAC interware, offering a complete software solution for communities of users that need to exploit distributed, heterogeneous computing and storage resources for big data processing. This presentation will give an overview of the service and then focus on the WMS functionalities supporting the current trends and technology innovations in...
Effective use of data driven intelligence for complex planning and decision making requires innovations that enable stakeholders to better understand the type of information that the data systems provide. In many cases stakeholders have limited expertise on a specific technical subject, but still need to understand and interpret the data driven intelligence to be able to act on limitations,...
In the Research & Education (R&E) sector, “defending as a global community” is a crucial strategy. This involves having the ability to produce and share relevant threat intelligence, and the capability to leverage it accross the entire sector.
Large campuses and research labs typically have dedicated security teams and adequate skills. But even there, deploying and operating a Security...
The Recommender Metrics Framework (RMF) is an independent "metrics framework as a service" that supports the evaluation and adaptation of recommendation mechanisms. The European Open Science Cloud (EOSC) uses a modern recommender System (RS) in the EOSC Marketplace for suggesting various resources. Using RMF to measure the success of the EOSC RS is crucial to get valuable insights into many...
Multi-factor authentication (MFA) is becoming a standard feature of Authorization and Authentication Infrastructures (AAIs). Alongside the other security measures, it allows accessing services and datasets securely.
Not only the access to datasets and services needs to follow the security rules. An Identity and Access Management (IAM) system as a place where the access to resources is...
The Infrastructure Manager (IM) is a TOSCA-based orchestrator that has been developed throughout the last decade to support the deployment of complex application architectures across a myriad of IaaS Cloud back-ends, including the most popular public Cloud Platforms (Amazon Web Services, Microsoft Azure, Google Cloud Platform) as well as European public providers such as Open Telekom Cloud,...
The recently finished EU projects PaNOSC and ExPaNDS produced a scientific analysis portal called VISA (Virtual Infrastructure for Scientific Analysis) that is now being used by many Photon and Neutron facilities in Europe. Originally developed by the Institut Laue-Langevin, VISA has been adopted by many project partners and is currently being developed further as a community project in order...
OSCAR is an open-source platform built on Kubernetes for serverless event-driven data-processing applications. To trigger the execution of these applications, OSCAR receives events from object-storage providers such as MinIO.
An OSCAR cluster can be easily deployed on the EGI Federated Cloud, as well as many other public and on-premises Clouds, through the Infrastructure Manager (IM), both...
openEO Platform is an operational, federated service including backend infrastructure at EODC, VITO and Sinergise which enables users to access and process large amounts of Earth Observation data. This service advances the knowledge about planet earth and provides users with a range of advantages including the ability to process data fast and share analysis with other users.
During this...
In this demonstration we would like to present the improvements to our data analytics platform for autonomous systems [5]. It is a scalable, cloud-agnostic and fault-tolerant data analytics platform we built using open-source components composed as reusable building blocks [3]. It is used as a reference architecture in different research projects such as DIGITbrain [1] and within the National...
The number of digital identities possessed by a single user significantly increased over the past years. The problem is that users want to access services regardless of the identity they use. Account linking is a process of joining users' identities that comes forward as a solution to the problem.
However, even today, the whole process is often handled either manually by an administrator or...
During the demo, we will showcase the latest features of Onedata, introduced in version 21.02.1.
- Multi-cloud data processing using automation workflows and archive preservation.
- Managing the overall lifecycle of distributed datasets, from preparation, through annotation and dissemination, to archiving for long-term preservation.
The demo will be performed on the Onedata services...
When dealing with benchmarking, result collection and sharing is as essential as the production of the data itself. A central source of information allows for data comparison, visualization, and analysis, which the community both contributes to and profits from.
While this is the case in other fields, in the High Energy Physics (HEP) benchmarking community both script and result sharing...
openEO Platform is an operational, federated service including backend infrastructure at EODC, VITO and Sinergise which enables users to access and process large amounts of Earth Observation data. This service advances the knowledge about planet earth and provides users with a range of advantages including the ability to process data fast and share analysis with other users.
During this...
Onedata [1] is a high-performance data management system with a distributed, global infrastructure that enables users to access storage resources worldwide. It supports various use cases ranging from personal data management to data-intensive scientific computations. Onedata has a fully distributed architecture that facilitates the creation of a hybrid-cloud infrastructure with private and...
Onedata [1] is a high-performance data management system with a distributed, global infrastructure that enables users to access storage resources worldwide. It supports various use cases ranging from personal data management to data-intensive scientific computations. Onedata has a fully distributed architecture that facilitates the creation of a hybrid-cloud infrastructure with private and...
