Optimized resource distribution for interactive TV applications

Kulupana, G., Talagala, D.S., Arachchi, H.K. ORCID: 0000-0002-5631-3239 and Fernando, A., 2015. Optimized resource distribution for interactive TV applications. IEEE Transactions on Consumer Electronics, 61 (3), pp. 344-352. ISSN 0098-3063

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Abstract

This paper proposes a novel resource optimization scheme for cloud-based interactive television applications that are increasingly believed to be the future of television broadcasting and media consumption, in general. The varying distribution of groups of users and the need for on-the-fly media processing inherent to this type of application necessitates a mechanism to efficiently allocate the resources at both a content and network level. A heuristic solution is proposed in order to (a) generate end-to-end delay bound multicast trees for individual groups of users and (b) co-locate multiple multicast trees, such that a minimum group quality metric can be satisfied. The performance of the proposed heuristic solution is evaluated in terms of the serving probability (i.e., the resource utilization efficiency) and execution time of the resource allocation decision making process. It is shown that improvements in the serving probability of up to 50%, in comparison with existing resource allocation schemes, and several orders of magnitude reduction of the execution time, in comparison to the linear programming approach to solving the optimization problem, can be achieved.

Item Type: Journal article
Publication Title: IEEE Transactions on Consumer Electronics
Creators: Kulupana, G., Talagala, D.S., Arachchi, H.K. and Fernando, A.
Publisher: Institute of Electrical and Electronics Engineers
Date: 2015
Volume: 61
Number: 3
ISSN: 0098-3063
Identifiers:
NumberType
10.1109/TCE.2015.7298294DOI
Divisions: Schools > School of Science and Technology
Depositing User: Jonathan Gallacher
Date Added: 16 Oct 2017 08:21
Last Modified: 16 Oct 2017 08:21
URI: http://irep.ntu.ac.uk/id/eprint/31817

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