Objective 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. Fields of science social sciencespolitical sciencespolitical transitionsrevolutionsengineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationstelecommunications networksmobile networkengineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsradio technology Programme(s) 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 Topic(s) MSCA-IF-2014-EF - Marie Skłodowska-Curie Individual Fellowships (IF-EF) Call for proposal H2020-MSCA-IF-2014 See other projects for this call Funding Scheme MSCA-IF-EF-ST - Standard EF Coordinator CHALMERS TEKNISKA HOGSKOLA AB Net EU contribution € 185 857,20 Address - 412 96 Goteborg Sweden See on map Region Södra Sverige Västsverige Västra Götalands län Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00
