Reference number : GC-2017-Q2-04297, amendment number : , agreement type : G, recipient legal name : Glitho, Roch (Concordia University)|Glitho, Roch (Université Concordia), recipient country : CA, recipient province : nan, recipient city : Quebec|Québec, recipient postal code : nan, program name english : Collaborative Research and Development Grants - Project, program name french : Subventions de recherche et développement coopérative - projet, program purpose english : Content Delivery Networks (CDNs) are less and less able to sustain the constant growth of content we are witnessing nowadays. They are deployed on current Internet architecture and this architecture is becoming a road block to scalability and efficiency in content distribution. Information Centric Networking (ICN) is now emerging as a solid candidate for Future Internet architecture.  It decouples information from its sources and uses in-network storage and information awareness for an efficient and scalable content delivery. Several significant benefits are expected (e.g. lower response time and simplified traffic engineering due to in-network caching).  5G is also now emerging and is expected to incorporate ICN in a dirty slate (i.e. incremental) manner. Several advantages are associated with 5G (e.g. 10 Gbps data rate in real networks; high bandwidth in unit area; almost 100% coverage for anytime anywhere connectivity).  CDNs over ICN in dirty slate 5G can harness ICN and 5G features to meet the challenging requirements induced by the tremendous content growth of these days. In this project we will investigate architectures and algorithms for CDNs over ICN in dirty slate 5G. The first set of architectures and algorithms will focus on adaptive streaming (a key functionality of CDN) in ICN at large and the second set will deal with the integration of CDN with a dirty slate ICN in 5G environment., program purpose french : Content Delivery Networks (CDNs) are less and less able to sustain the constant growth of content we are witnessing nowadays. They are deployed on current Internet architecture and this architecture is becoming a road block to scalability and efficiency in content distribution. Information Centric Networking (ICN) is now emerging as a solid candidate for Future Internet architecture.  It decouples information from its sources and uses in-network storage and information awareness for an efficient and scalable content delivery. Several significant benefits are expected (e.g. lower response time and simplified traffic engineering due to in-network caching).  5G is also now emerging and is expected to incorporate ICN in a dirty slate (i.e. incremental) manner. Several advantages are associated with 5G (e.g. 10 Gbps data rate in real networks; high bandwidth in unit area; almost 100% coverage for anytime anywhere connectivity).  CDNs over ICN in dirty slate 5G can harness ICN and 5G features to meet the challenging requirements induced by the tremendous content growth of these days. In this project we will investigate architectures and algorithms for CDNs over ICN in dirty slate 5G. The first set of architectures and algorithms will focus on adaptive streaming (a key functionality of CDN) in ICN at large and the second set will deal with the integration of CDN with a dirty slate ICN in 5G environment., agreement title english : Content delivery networks over dirty slate information centric networks in 5G, agreement title french : Content delivery networks over dirty slate information centric networks in 5G, agreement number : CRDPJ, agreement value : 86956.0, agreement start date : 2017-09-20, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year (2017-2018 to 2019-2020)., additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2019-2020)., owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada