Objectif This project proposes the tighter integration of data-intensive (Big Data) applications with datacenter and cluster networks, leveraging on the matching features and programmability offered by the concepts of Software-Defined Networks. Given that such applications generate high volumes of data, they can easily lead to network congestion and in turn poor application performance.Given the high anticipated penetration of such applications, addressing the above problems today is of paramount importance. The candidate has over 10 years of research expertise in networking research, has been affiliated with high-prestige research organizations and has already published impacting work in the area.In light of the need of the global economy for faster processing of the huge volumes of new data that is being constantly produced, in conjunction with the fact that SDN is a technology that is highly-likely to dominate future datacenters and HPC clusters, there is high anticipated impact of the resarch outcome to be procuded out the proposed project. Champ scientifique natural sciencescomputer and information sciencesdata sciencebig data 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) Thème(s) FP7-PEOPLE-2012-CIG - Marie-Curie Action: "Career Integration Grants" Appel à propositions FP7-PEOPLE-2012-CIG Voir d’autres projets de cet appel Régime de financement MC-CIG - Support for training and career development of researcher (CIG) Coordinateur ATHINA-EREVNITIKO KENTRO KAINOTOMIAS STIS TECHNOLOGIES TIS PLIROFORIAS, TON EPIKOINONION KAI TIS GNOSIS Contribution de l’UE € 75 000,00 Adresse ARTEMIDOS 6 KAI EPIDAVROU 151 25 Maroussi Grèce Voir sur la carte Région Αττική Aττική Βόρειος Τομέας Αθηνών Type d’activité Research Organisations Contact administratif Kika Kalogeropoulou (Mrs.) Liens Contacter l’organisation Opens in new window Site web Opens in new window Coût total Aucune donnée
