On the Modelling of CDNaaS Deployment

Journal article

Bulkan, U, Dagiuklas, T and Iqbal, M (2018). On the Modelling of CDNaaS Deployment. Multimedia Tools and Applications. 78, pp. 6805-6825. https://doi.org/10.1007/s11042-018-6441-3
AuthorsBulkan, U, Dagiuklas, T and Iqbal, M
Abstract

With the increasing demand for over the top media content, understanding user perception and Quality of Experience (QoE) estimation have become a major business necessity for service providers. Online video broadcasting is a multifaceted procedure and calculation of performance for the components that build up a streaming platform requires an overall understanding of the Content Delivery Network as a service (CDNaaS) concept. Therefore, to evaluate delivery quality and predicting user perception while considering NFV (Network Function Virtualization) and limited cloud resources, a relationship between these concepts is required. In this paper, a generalized mathematical model to calculate the success rate of different tiers of online video delivery system is presented. Furthermore, an algorithm that indicates the correct moment to switch between CDNs is provided to improve throughput efficiency while maintaining QoE and keeping the cloud hosting costs as lowest possible.

KeywordsContent Delivery Network (CDN); OTT Streaming; Live Streaming; 0803 Computer Software; 0805 Distributed Computing; 0806 Information Systems; 0801 Artificial Intelligence And Image Processing; Artificial Intelligence & Image Processing; Software Engineering
Year2018
JournalMultimedia Tools and Applications
Journal citation78, pp. 6805-6825
PublisherSpringer
ISSN1380-7501
Digital Object Identifier (DOI)https://doi.org/10.1007/s11042-018-6441-3
Publication dates
Print31 Jul 2018
Publication process dates
Deposited31 Jul 2018
Accepted20 Jul 2018
Accepted author manuscript
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Open
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This is a post-peer-review, pre-copy edit version of an article to be published in Multimedia Tools and Applications. The final authenticated version will be available at https://link.springer.com/journal/11042

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Shahzadi, S, Ubakanma, G, Iqbal, M and Dagiuklas, T (2018). Autonomous, Seamless and Resilience Carrier Cloud Brokerage Solution for Business Contingencies during Disaster Recovery. IEEE International Conference on High Performance Computing and Communication (HPCC). Exeter, UK 28 - 30 Jun 2018 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/HPCC/SmartCity/DSS.2018.00174
Feasibility of Serverless Cloud Services for Disaster Management Information Systems
Asghar, T, Rasool, S, Iqbal, M, Qayyum, Z, Noor Mian, A and Ubakanma, G (2018). Feasibility of Serverless Cloud Services for Disaster Management Information Systems. IEEE International Conference on High Performance Computing and Communication (HPCC). Exeter, UK 28 - 30 Jun 2018 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/HPCC/SmartCity/DSS.2018.00175
Reliable Resource Provisioning using Bankers’ Deadlock Avoidance Algorithm in MEC for Industrial IoT
Ugwuanyi, EE, Ghosh, S, Iqbal, M and Dagiuklas, T (2018). Reliable Resource Provisioning using Bankers’ Deadlock Avoidance Algorithm in MEC for Industrial IoT. IEEE Access. 6. https://doi.org/10.1109/ACCESS.2018.2857726
Quality of Service Provisioning for Heterogeneous Services in Cognitive Radio-enabled Internet of Things
Ali, A, Feng, L, Bashir, AK, Shaker, SH, Ahmed, SH, Iqbal, M and Raja, G (2018). Quality of Service Provisioning for Heterogeneous Services in Cognitive Radio-enabled Internet of Things. IEEE Transactions on Network Science and Engineering. https://doi.org/10.1109/TNSE.2018.2877646
On the Load Balancing of Edge Computing resources for on-line video delivery
Bulkan, U., Dagiuklas, A., Iqbal, M, Saidul Huq, M, Al-Dulaimi, A and Rodriguez, J (2018). On the Load Balancing of Edge Computing resources for on-line video delivery. IEEE Access. 6 (2018), pp. 73916-73927. https://doi.org/10.1109/ACCESS.2018.2883319
Communication device and method for achieving multi-protocol interoperability
Wang, X and Iqbal, M (2017). Communication device and method for achieving multi-protocol interoperability.
Multiprotocol interoperation communication device and method (Patent Application CN 105704125 A)
Wang, X and Iqbal, M (2016). Multiprotocol interoperation communication device and method (Patent Application CN 105704125 A).
Mobile Edge Computing Potential in Making Cities Smarter
Taleb, T, Dutta, S, Ksentini, A, Iqbal, M and Flinck, H (2017). Mobile Edge Computing Potential in Making Cities Smarter. IEEE Communications Magazine. 55 (3). https://doi.org/10.1109/MCOM.2017.1600249CM
An Efficient Channel Access Scheme for Vehicular Ad-hoc Networks
Hussain, S, Iqbal, M, Saeed, A, Raza, I, Raza, H, Ali, A, Bashir, A and Baig, A (2017). An Efficient Channel Access Scheme for Vehicular Ad-hoc Networks. Mobile Information Systems. 2 (4), pp. 1473-1477.
Infrastructure as a Service (IaaS): A Comparative Performance Analysis of Open-Source Cloud Platforms
Iqbal, M and Dagiuklas, T (2017). Infrastructure as a Service (IaaS): A Comparative Performance Analysis of Open-Source Cloud Platforms. The International Workshop on Computer-Aided Modeling Analysis and Design of Communication Links and Networks (CAMAD). Lund, Sweden. 21 May - 19 Jun 2017
Context-Aware Personalized Activity Modeling in Concurrent Environment
Safyan, M, Zia, Q, Sarwar, S, Iqbal, M and Ahmed, M (2017). Context-Aware Personalized Activity Modeling in Concurrent Environment. 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData). Exeter UK 21 - 23 Jun 2017 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData.2017.150
Edu-Cloud: On-the-fly Employability Skills as a Service
Shahzadi, S, Iqbal, M and Dagiuklas, T (2017). Edu-Cloud: On-the-fly Employability Skills as a Service. Computer Applications in Engineering Education. 26 (2), pp. 314-325. https://doi.org/10.1002/cae.21886
Multi-Access Edge Computing: Open issues, Challenges and Future Perspective
Shahzadi, S, Iqbal, M, Dagiuklas, T and Qayyum, Z (2017). Multi-Access Edge Computing: Open issues, Challenges and Future Perspective. Journal of Cloud Computing : Advances, Systems and Applications. 6 (1). https://doi.org/10.1186/s13677-017-0097-9