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Resource allocation for cloud-based social TV applications using Particle Swarm Optimization

Kulupana, G, Talagala, DS, Kodikara Arachchi, H and Fernando, WAC (2015) Resource allocation for cloud-based social TV applications using Particle Swarm Optimization In: Communications (ICC), 2015 IEEE International Conference on, 8-12 June 2015, London.

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Abstract

Social interaction of groups of users, amongst themselves and with the media content itself, is increasingly becoming popular due to the advancements in the Internet access technologies. However, multimedia resource provisioning for dispersed user groups poses a challenge and demands innovative technologies. This paper proposes a novel approach based on Particle Swarm Optimization (PSO) to optimally allocate computational and networking resources to a group of interactive users, such that the group Quality-of-Service (QoS) is maximized. We evaluate the performance of the proposed improved PSO method with respect to the state-of-the-art greedy resource allocation mechanisms and related PSO approaches. The ability to find a feasible solution (i.e., the serving probability) and the accuracy of such solutions are compared for different network topologies. The proposed method demonstrates reduced computational complexity, an up to 40% increase in the serving probability compared to the greedy methods, and up to 60 times faster convergence compared to the basic PSO approach. Overall, the comparable QoS level to the optimal solution suggests that the proposed solution efficiently allocates the resources available in the network.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing
Authors :
AuthorsEmailORCID
Kulupana, GUNSPECIFIEDUNSPECIFIED
Talagala, DSUNSPECIFIEDUNSPECIFIED
Kodikara Arachchi, HUNSPECIFIEDUNSPECIFIED
Fernando, WACUNSPECIFIEDUNSPECIFIED
Date : 8 June 2015
Identification Number : 10.1109/ICC.2015.7248490
Contributors :
ContributionNameEmailORCID
PublisherIEEE, UNSPECIFIEDUNSPECIFIED
Additional Information : © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Depositing User : Symplectic Elements
Date Deposited : 03 Nov 2015 08:57
Last Modified : 03 Nov 2015 08:57
URI: http://epubs.surrey.ac.uk/id/eprint/809046

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