Portal Development Projects

EGI-Engage

EGI-Engage, ongoing

Full name Engaging the Research Community towards an Open Science Commons
Homepage
Facebook
LinkedIn
Twitter
http://www.egi.eu/about/egi-engage/
http://www.facebook.com/europeangrid
http://www.linkedin.com/groups/European-Grid-Infrastructure-3344148
https://twitter.com/EuropeanGrid
Start date 1 March 2015
End date 31 August 2017
Description EGI-Engage aims to accelerate the implementation of the Open Science Commons by expanding the capabilities of a European backbone of federated services for compute, storage, data, communication, knowledge and expertise, complementing community-specific capabilities.

VIALACTEA

VIALACTEA, ongoing

Full name VIALACTEA - The Milky Way as a Star Formation Engine
Start date 1 October 2013
End date 30 September 2016
Description VIALACTEA will bring to a common forum the major new-generation surveys of the Galactic Plane from 1um to the radio, both in thermal continuum and in atomic and molecular lines, from Europe-funded space missions and ground-based facilities, to engage one of the fundamental challenges in Galactic astronomy: to quantify Galaxy-wide the relationship between the physical agents responsible for the onset and the regulation of star formation in a spiral galaxy and the resulting Rate and Efficiency of star formation, and obtain a "star formation recipe" that will be a cornerstone to trace the star formation history of galaxies back to their formation.

CloudSME

CloudSME, ongoing

Full name Cloud Simulation for Manufacturing & Engineering
Homepage
Facebook
LinkedIn
Twitter
http://www.cloudsme.eu/
https://www.facebook.com/cloudsmeproject
http://www.linkedin.com/groups/CloudSME-5107683?gid=5107683&trk=vsrp_gro...
https://twitter.com/cloudSMEproject
Start date 1st July 2013
End date 31st December 2015
Description The CloudSME project will develop a cloud-based solution with the goal of lowering these barriers by providing a scalable platform for small or large scale simulations, and thus enabling the wider take-up of simulation technologies in the manufacturing and engineering industry of Europe. The CloudSME Simulation Platform will help end-user SMEs utilize customized simulation applications delivered in the form of Software-as-a-Service (SaaS) via the cloud. Moreover, simulation software service providers and consulting companies will have access to a Platform-as-a-Service (PaaS) solution that enables them to quickly assemble custom simulation solutions in the cloud for their clients.

ER-flow

ER-flow, past

Full name Building an European Research Community through Interoperable Workflows and Data
Homepage
Facebook
Twitter
http://www.erflow.eu/
http://www.facebook.com/SHIWA.technology
http://twitter.com/SHIWAtechnology
Start date 1st September 2012
End date 31st October 2014
Description The ER-flow project's aim is to build a European Research Community to promote workflow sharing and to investigate interoperability of the scientific data in workflow sharing. The project will disseminate the achievements of the FP7 SHIWA project, particularly the coarse-grained workflow interoperability based on the SHIWA Simulation Platform.

agINFRA

agINFRA, past

Full name Promoting data sharing and development of trust in agricultural sciences
Homepage http://www.aginfra.eu/
Start date 15 October 2011
End date 14 February 2015
Description The aim of the Networking Activities from the agINFRA project is to foster a culture of cooperation between the agricultural scientific communities benefiting from research infrastructures and help develop a more efficient and attractive European Research Area.

SCI-BUS

SCI-BUS, past

Full name SCIentific gateway Based User Support
Homepage
Facebook
Twitter
YouTube
http://www.sci-bus.eu/
http://www.facebook.com/SCIBUS.project
http://twitter.com/SCIBUSproject
http://www.youtube.com/user/SCIBUSproject
Start date 1st October 2011
End date 30th September 2014
Description The SCI-BUS project aims to ease the life of e-Scientists by creating a new science gateway customisation methodology based on the generic-purpose gUSE/WS-PGRADE portal family. The customised science gateways will enable scientists to focus on their work and exploit resources of main Distributed Computing Infrastructures (DCIs) without the need to deal with the underlying infrastructures' details.

HP-SEE

HP-SEE, past

Full name High-Performance Computing Infrastructure for South East Europe
Homepage http://www.hp-see.eu/
Start date 1st September 2010
End date 31st August 2012
Description HP-SEE’s Research Communities link existing and upcoming HPC facilities in South East Europe in a common infrastructure, and it will provide operational solutions for it.

EGI-InSPIRE

EGI-InSIPRE, past

Full name European Grid Initiative: Integrated Sustainable Pan-European Infrastructure for Researchers in Europe
Homepage http://egi.eu/projects/egi-inspire
Start date 2010
End date 2014
Description The EGI-InSPIRE project started on 1 May 2010, co-funded by the European Commission for four years, as a collaborative effort involving more than 50 institutions in over 40 countries. Its mission is to establish a sustainable European Grid Infrastructure (EGI).

HAGRID

HAGRID, past

Full name Development and meteorological application of new generation grid technologies in the environmental protection & building energy management
Homepage http://hagrid.econet.hu/
Start date 1st October 2005
End date 15th September 2008
DescriptionThe aim of this project was to universalize the methods of SETI-type Desktop Grid systems and to rework that for adoption scalable institutional and business grid systems and for enabling to business R&D the home PCs resources.

GridML

GridML, past

Full name Next generation data mining on high performance, parallel distributed systems
Homepage not specified
Start date 1st January 2005
End date 28th February 2007
Description The aim of the GridML project was to develop a prototype of an advanced, next-generation data-mining system, capable of more efficiently exploiting the vast computational resources of distributed, parallel computational environments. Researchers looked not only into the problem of predicting the performance of the algorithms separately, but also at the whole process of data mining, where the cost of making such predictions is also taken into account.

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