A Context-Adaptive Content Ecosystem under Uncertainty (CONCERT)Wei Koong Chai, George Pavlou (UCL), George Kamel, Ning Wang (UniS), Benjamin Rainer, Hermann Hellwagner (AAU), Laura Toni, Pascal Frossard (EPFL)

Project Output16 published papers5 journal papers11 conference papersOrganization of the MuSIC Workshops 2015 and 2016 (Multimedia Streaming in Information-Centric Networks)Low-cost ICN testbed using Banana Pi routersOpen access to a new DASH/SVC datasetOpen source tool chain for DASH/SVC

To devise and evaluate a context-aware content ecosystemto holistically manage and exploit uncertainties in future, dynamic, content-oriented network environments.

Project Overview

Ecosystem to be based on information-centric networkingCentered on information (what) instead of host (where)Content-based resolution and delivery based on namesSupport intrinsic in-network content manipulation (data caching/storage and processing)Uncertainties: Requirements (application/service requirements), threats (network anomalies) and opportunities (performance enhancements)

Novel universal path-based information spreading modelling frameworkTakes into account routing protocol, traffic intensity and distribution and network topologyIdentification of an epidemic survival threshold

Context-aware DASH representations optimisation• Coding parameters based on the context (populations, uncertainty on users requests, video)• Better usage of the resources compared to recommended sets

Information Spreading ModellingNovel concurrent multi-RAT video streaming solution for SVC-DASHTakes network and buffer/QoEcontext into account to ensure:Smooth & high quality playbackEfficient use of multi-RAT network resources

Multi-RAT Video Streaming

Context-aware DASH Representations OptimisationStochastic Adaptive Forwarding (SAF) of Interests:CCR learns network status upstream (i.e., builds context) by observing Data packets that return (or do not return) in response to InterestsMulti-path transmission in NDN exploited to circumvent potential congestion and link failures

Stochastic Adaptive Forwarding in NDN

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