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Title: Controlling beyond high definition media in future networks
Author: Ntofon, Okung Dike
Awarding Body: University of Essex
Current Institution: University of Essex
Date of Award: 2013
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The increasingly important role of networked media applications and services is set to continue with the emergence of the next generation of digital media formats. These formats, collectively referred to as beyond High Definition (BHD) formats in this thesis, offer stronger sense of presence and greater impression of reality compared to all pre-existing media formats. This increased quality translates into far greater computational and bandwidth requirements compared to pre-existing media formats. Therefore, the deployment of future networked Media Infrastructures (MMIs) requires highly distributed and scalable media processing and storage resources interconnected via dynamic high-speed optical networks. This thesis proposes a novel service-oriented control framework, the Advanced Media Services Control (AYISC) framework, to coordinate the heterogeneous media resources, mediate between the media and network layers, and resolve user requests to deliver high quality networked media services. A),'ISC comprises the novel Media Applications Description Language (MADL), a novel semantic description framework proposed to describe resources and services offered by the NMI. It also comprises novel online and offline joint scheduling mechanisms proposed to facilitate intelligent and autonomous use of available resources. The motivation behind and core contributions of this thesis are discussed. The state-of-t he-art in relevant areas including drivers for future NMIs, optical networking technologies; and application-aware control frameworks are detailed. The AMSC framework is then presented as an intelligent framework for deploying user-, media-and network-aware future NMIs over dynamic high-speed optical networks. The novel MADL semantic description framework is proposed as a unified description mechanism to overcome heterogeneity in future NMI s. Several user- and resource-aware online and offline joint scheduling heuristic algorithms and optimal mathematical formulations are proposed to provide high acceptance of user requests with effective and efficient utilization of available resources. Finally, fundamental proof-of-concept testbed demonstrators of the AMSC framework are presented in the context of a networked media ecosystem.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available