Cel The recent years have witnessed the explosion of services and applications such as email, cloud computing, socialand media networks, and video sharing. The grand challenge is to store, process and transfer this massive amountof data. According to recent estimates, the data to be stored grows at a rate of 45% per year, a factor of 40 by2024. Data centers typically employ a collection of cheap devices/nodes, which are connected forming a so-calleddistributed storage (DS) system, where a central server keeps track of where each file is stored and performs allnetwork operations. Every day, knowingly or unknowingly people connect to various private and public DS systems.It is nowadays accepted that current DS systems cannot face the unabated growing of digital data volume. Nextgenerationstorage systems desperately need new technologies to improve their robustness to node failures, storageefficiency, complexity, and cost efficiency, in order to sustain the information revolution of modern societies.This project addresses the challenges above using modern coding theory and optimization theory. Our focus ison the application of sparse-graph erasure correcting codes to large DS networks. The proposed project falls into thecategory of fundamental research, but it is driven by practical concerns, and we expect our findings to give new andrelevant insights for the design of practical coding schemes for next-generation DS systems. Dziedzina nauki social sciencespolitical sciencespolitical transitionsrevolutionsengineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationstelecommunications networksmobile networkengineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsradio technology Program(-y) H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility Temat(-y) MSCA-IF-2014-EF - Marie Skłodowska-Curie Individual Fellowships (IF-EF) Zaproszenie do składania wniosków H2020-MSCA-IF-2014 Zobacz inne projekty w ramach tego zaproszenia System finansowania MSCA-IF-EF-ST - Standard EF Koordynator CHALMERS TEKNISKA HOGSKOLA AB Wkład UE netto € 185 857,20 Adres - 412 96 GOTEBORG Szwecja Zobacz na mapie Region Södra Sverige Västsverige Västra Götalands län Rodzaj działalności Higher or Secondary Education Establishments Linki Kontakt z organizacją Opens in new window Strona internetowa Opens in new window Uczestnictwo w unijnych programach w zakresie badań i innowacji Opens in new window sieć współpracy HORIZON Opens in new window Koszt całkowity € 185 857,20