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QoS, Energy and Cost Efficient Resource Allocation for Cloud-Based Interactive TV Applications

Kulupana, Gosala, Talagala, Dumidu, Arachchi, HK and Fernando, Warnakulasuriya (2017) QoS, Energy and Cost Efficient Resource Allocation for Cloud-Based Interactive TV Applications IEIE Transactions on Smart Processing and Computing, 6 (3). pp. 158-167.

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Abstract

Internet-based social and interactive video applications have become major constituents of the envisaged applications for next-generation multimedia networks. However, inherently dynamic network conditions, together with varying user expectations, pose many challenges for resource allocation mechanisms for such applications. Yet, in addition to addressing these challenges, service providers must also consider how to mitigate their operational costs (e.g., energy costs, equipment costs) while satisfying the end-user quality of service (QoS) expectations. This paper proposes a heuristic solution to the problem, where the energy incurred by the applications, and the monetary costs associated with the service infrastructure, are minimized while simultaneously maximizing the average end-user QoS. We evaluate the performance of the proposed solution in terms of serving probability, i.e., the likelihood of being able to allocate resources to groups of users, the computation time of the resource allocation process, and the adaptability and sensitivity to dynamic network conditions. The proposed method demonstrates improvements in serving probability of up to 27%, in comparison with greedy resource allocation schemes, and a several-orders-of-magnitude reduction in computation time, compared to the linear programming approach, which significantly reduces the service-interrupted user percentage when operating under variable network conditions.

Item Type: Article
Subjects : Electronic Engineering
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
NameEmailORCID
Kulupana, Gosalag.kulupana@surrey.ac.ukUNSPECIFIED
Talagala, Dumidud.talagala@surrey.ac.ukUNSPECIFIED
Arachchi, HKUNSPECIFIEDUNSPECIFIED
Fernando, WarnakulasuriyaW.Fernando@surrey.ac.ukUNSPECIFIED
Date : 30 June 2017
Identification Number : 10.5573/IEIESPC.2017.6.3.158
Copyright Disclaimer : Copyright 2017 Institute of Electronics and Information Engineers (IEIE). Published under an open access license, by which the authors agree that anyone may reuse, copy, distribute their published article in whole or part for any purpose, for free, even for commercial purposes as long as the authors and original source are properly cited.
Uncontrolled Keywords : Social Multimedia Applications, Cloud Computing, Resource Optimization, Social Networking, QoS, Operational Cost
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 25 Apr 2017 16:58
Last Modified : 20 Jul 2017 13:14
URI: http://epubs.surrey.ac.uk/id/eprint/814019

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