Recognising the need for simpler, reliable, and harmonised access for individual researchers and small research groups to EGI resources, the EGI community started to design and prototype a new platform in October 2014 for the ‘long-tail of science’. The demo will show the capabilities of this new platform. The new EGI long-tail platform reduces technical barriers for users to request and consume EGI grid and cloud resources. The platform is expandable with customised ‘Virtual Research Environments’ (VREs) to speed up adoption within national or science discipline specific communities. The ultimate goal of the platform is to provide high quality access to grid and cloud resources to any researcher from Europe, independent of geographical location or domain of work. Users enter the platform via 'user registration portal' that is operated centrally for EGI from NGI-PL. Through the registration portal users are able to request resources from the platform, then consume these resources through any of the VREs / science gateways that are connected to the platform. Each VRE/gateway is tuned to support specific big data and compute-intensive use cases, so users can find suitable solutions for a broad range of usage scenarios. The platform not only provides technical services to implement and use big data applications, it also includes communication channels to connect researchers their support teams within their local National Grid Initiative (NGI), or within service-specific teams. The platform will be opened publicly at the EGI Community Forum. The demo will demonstrate key capabilities for NGI support teams, VRE/gateway providers, and most importantly for scientists. The demo will help facilitate adoption of the platform within NGIs, national and disciplinary user groups, and will hopefully attract further resource providers and VRE/gateway providers to join the platform.
Diego Scardaci (EGI.eu/INFN) Dr Gergely Sipos (EGI.eu) Kostas Koumantaros (GRNET) Marco Fargetta (INFN) Mischa Salle (FOM) Peter Solagna (EGI.eu) Roberto Barbera (University of Catania and INFN) Mr T. Szepieniec (CYFRONET)