Objective The objective of the EVANS project is to increase researchers’ mobility between EU countries and China to obtain better understanding of network virtualisation for future Internet infrastructure. In particular, the knowledge transfer, as a result of researcher’s mobility, will focus on the management aspects of the virtualised network resources rather than the virtualisation techniques themselves. As far as the types of network platforms are concerned, there are not only optical networks and IP networks for the core networks that constitute the Internet backbone but also various broadband wireless network technologies for mobile access. In order to provide an end-to-end service solution to end users, wireless mobile access network technologies have to be considered as an increasing number of users use mobile devices to get access to the Internet. The EVANS project aims to investigation into the creation of a network virtualisation environment over a fully heterogeneous network infrastructure and to provide an integrated network management system across different types of network platforms. The project will investigate into two complementary aspects of such an integrated network resource management system: (1) vertical management of virtualised resource for service heterogeneity, which is performed by infrastructure providers, and (2) horizontal management of virtualised resource for network heterogeneity, which is for the interest of service providers.This staff exchange programme will also help develop new research links and deepen and strengthen the current research links amongst the partners and help build up long-term, world-class research in future Internet technology. Fields of science natural sciencescomputer and information sciencesinternetengineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationstelecommunications networksoptical networksengineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsradio technology Programme(s) FP7-PEOPLE - Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) Topic(s) FP7-PEOPLE-2010-IRSES - Marie Curie Action "International Research Staff Exchange Scheme" Call for proposal FP7-PEOPLE-2010-IRSES See other projects for this call Funding Scheme MC-IRSES - International research staff exchange scheme (IRSES) Coordinator UNIVERSITY OF ESSEX Address Wivenhoe park CO4 3SQ Colchester United Kingdom See on map Region East of England Essex Essex Haven Gateway Activity type Higher or Secondary Education Establishments Administrative Contact Shereen Anderson (Ms.) Links Contact the organisation Opens in new window Website Opens in new window EU contribution No data Participants (3) Sort alphabetically Sort by EU Contribution Expand all Collapse all UNIVERSITAT POLITECNICA DE CATALUNYA Spain EU contribution € 67 200,00 Address Calle jordi girona 31 08034 Barcelona See on map Region Este Cataluña Barcelona Activity type Higher or Secondary Education Establishments Administrative Contact Joan Serrat (Prof.) Links Contact the organisation Opens in new window Website Opens in new window Other funding No data SIMULA RESEARCH LABORATORY AS Norway EU contribution € 67 200,00 Address Kristian august gate 23 0164 Oslo See on map Region Norge Oslo og Viken Oslo Activity type Research Organisations Administrative Contact Yan Zhang (Dr.) Links Contact the organisation Opens in new window Website Opens in new window Other funding No data UNIVERSITY OF SURREY United Kingdom EU contribution € 69 300,00 Address Stag hill GU2 7XH Guildford See on map Region South East (England) Surrey, East and West Sussex West Surrey Activity type Higher or Secondary Education Establishments Administrative Contact Maria Sega-Buhalis (Ms.) Links Contact the organisation Opens in new window Website Opens in new window Other funding No data