Despite extensive research having been conducted on the subject, the problem of three-dimensional information systems for historical cities is actually still unresolved. In addition, commercially available software seems to be increasingly aiming at a quick development of unspecific urban settings, rather than at a metrically and perceptively faithful representation of reality. In this scenario, the SIUR 3D software (Sistema Informativo URbano tridimensionale) is based on a management structure that links an interactive, photorealistic and metrically reliable model of a city with a qualitative database of the historical, archaeological and material scope of an architectural part. Such application uses the Unity 3D game engine for geometrical models management and is equipped for online data sharing.
Davide Salomoni; Isabel Campos; Luciano Gaido; J. Marco de Lucas; P. Solagna; Jorge Gomes; Luděk Matyska; P. Fuhrman; Marcus Hardt; Giacinto Donvito; +43 more
Davide Salomoni; Isabel Campos; Luciano Gaido; J. Marco de Lucas; P. Solagna; Jorge Gomes; Luděk Matyska; P. Fuhrman; Marcus Hardt; Giacinto Donvito; Lukasz Dutka; Marcin Plociennik; Roberto Barbera; Ignacio Blanquer; Andrea Ceccanti; Eva Cetinic; Mario David; Cristina Duma; Álvaro López-García; Germán Moltó; Pablo Orviz; Zdeněk Šustr; M. Viljoen; Fernando Aguilar; L. Alves; Marica Antonacci; Louis Antonelli; S. Bagnasco; Alexandre M. J. J. Bonvin; Riccardo Bruno; Y. Chen; Alessandro Costa; Davor Davidović; B. Ertl; Marco Fargetta; Sandro Fiore; S. Gallozzi; Zeynep Kurkcuoglu; Lara Lloret; João Martins; Alessandra Nuzzo; Paola Nassisi; Cosimo Palazzo; João Murta Pina; Eva Sciacca; Daniele Spiga; Marco Antonio Tangaro; Michal Urbaniak; S. Vallero; Bas Wegh; Valentina Zaccolo; Federico Zambelli; Tomasz Zok;
This paper describes the achievements of the H2020 project INDIGO-DataCloud. The project has provided e-infrastructures with tools, applications and cloud framework enhancements to manage the demanding requirements of scientific communities, either locally or through enhanced interfaces. The middleware developed allows to federate hybrid resources, to easily write, port and run scientific applications to the cloud. In particular, we have extended existing PaaS (Platform as a Service) solutions, allowing public and private e-infrastructures, including those provided by EGI, EUDAT, and Helix Nebula, to integrate their existing services and make them available through AAI services compliant with GEANT interfederation policies, thus guaranteeing transparency and trust in the provisioning of such services. Our middleware facilitates the execution of applications using containers on Cloud and Grid based infrastructures, as well as on HPC clusters. Our developments are freely downloadable as open source components, and are already being integrated into many scientific applications. INDIGO-Datacloud has been funded by the European Commision H2020 research and innovation program under grant agreement RIA 653549. Peer reviewed
Countries: Spain, Spain, Netherlands, Netherlands, France
Project: FCT | EXPL/BBB-BEP/1356/2013 (EXPL/BBB-BEP/1356/2013), AKA | ELIXIR - Data for Life Eu... (273655), WT , EC | WENMR (261572), EC | EGI-INSPIRE (261323), EC | BIOMEDBRIDGES (284209), FCT | SFRH/BPD/78075/2011 (SFRH/BPD/78075/2011), FCT | EXPL/BBB-BEP/1356/2013 (EXPL/BBB-BEP/1356/2013), AKA | ELIXIR - Data for Life Eu... (273655), WT ,...
With the increasingly rapid growth of data in life sciences we are witnessing a major transition in the way research is conducted, from hypothesis-driven studies to data-driven simulations of whole systems. Such approaches necessitate the use of large-scale computational resources and e-infrastructures, such as the European Grid Infrastructure (EGI). EGI, one of key the enablers of the digital European Research Area, is a federation of resource providers set up to deliver sustainable, integrated and secure computing services to European researchers and their international partners. Here we aim to provide the state of the art of Grid/Cloud computing in EU research as viewed from within the field of life sciences, focusing on key infrastructures and projects within the life sciences community. Rather than focusing purely on the technical aspects underlying the currently provided solutions, we outline the design aspects and key characteristics that can be identified across major research approaches. Overall, we aim to provide significant insights into the road ahead by establishing ever-strengthening connections between EGI as a whole and the life sciences community. AD was supported by Fundação para a Ciência e a Tecnologia, Portugal (SFRH/BPD/78075/2011 and EXPL/BBBBEP/1356/2013). FP has been supported by the National Grid Infrastructure NGI_GRNET, HellasGRID, as part of the EGI. IFB acknowledges funding from the “National Infrastructures in Biology and Health” call of the French “Investments for the Future” initiative. The WeNMR project has been funded by a European FP7 e-Infrastructure grant, contract no. 261572. AF was supported by a grant from Labex CEBA (Centre d’études de la Biodiversité Amazonienne) from ANR. MC is supported by UK’s BBSRC core funding. CSC was supported by Academy of Finland grant No. 273655 for ELIXIR Finland. The EGI-InSPIRE project (Integrated Sustainable Pan-European Infrastructure for Researchers in Europe) is co-funded by the European Commission (contract number: RI-261323). The BioMedBridges project is funded by the European Commission within Research Infrastructures of the FP7 Capacities Specific Programme, grant agreement number 284209. This is an open-access article.-- et al. Peer Reviewed
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 cutting-edge technologies, such as Docker and Apache Mesos, and standard specifications to describe application architectures such as TOSCA, we are able to provide a service that simplifies the process of creating and managing repositories of various digital assets using cloud resources. An Invenio-based repository consists of a set of services (e.g. database, message queue, cache, workers and frontend) that need to be properly installed, configured and linked together. These operations, along with the provisioning of the resources and their monitoring and maintenance, can be challenging for individual researchers or small-to-moderate-sized research groups. To this purpose, the INDIGO-DataCloud platform provides advanced features for orchestrating the deployment of complex virtual infrastructures on distributed cloud environments: it is able to provision the required resources automatically over heterogeneous and/or hybrid cloud infrastructures and to configure them automatically ensuring dynamic elasticity and resilience. This approach has been successfully adapted to support the needs of the researchers and scholars in the domain of the Digital Arts and Humanities.