Home   >   CSC-OpenAccess Library   >    Manuscript Information
The Optimization of IPTV Service Through SDN In A MEC Architecture, Respective Simulations In OMNeT ++
Esmeralda Make Hysenbelliu, Arjan Durresi
Pages - 63 - 77     |    Revised - 31-10-2021     |    Published - 01-12-2021
Volume - 9   Issue - 3    |    Publication Date - December 2021  Table of Contents
MORE INFORMATION
KEYWORDS
Software-Defined Networking (SDN), Multiple-Access Edge Computing (MEC), Internet Protocol Television (IPTV), Latency.
ABSTRACT
The aim of this paper is to present the ‘Power’ of SDN Technology and MEC Technic in improving the delivering of IPTV Service. Those days, the IPTV end –users are tremendous increased all over the world , but in the same time also the complains for receiving these prepaid real time multimedial services like; high latency, high bandwidth, low performance and low QoE/QoS. On the other end, IPTV Distributors need a new system, technics, network solutions to distribute content continuesly and simultaneously to all active end-users with high-quality, lowlatency and high Performance, thus monitoring and re-configuring this ‘Big Data’ require high Bandwidth by causing difficult problems by offering it affecting in the same time the price and QoE/QoSperformance of delivered service.

For this reason, we have achieved to optimize the IPTV service by applying SDN solution in a MEC Architecture (Multiple-Access Edge Computing). In this way , through MEC Technology and SDN, it is possible to receive an IPTV service with Low Latency, High Performance and Low Bandwidth by solving successfully all the problems faced by the actual IPTV Operators. These improvements of delivering IPTV service through MEC will be demonstrated by using the OMNet +++ simulator in an LTE-A mobile network. The results show clearly that by applying the MEC technique in the LTE-A network for receiving IPTV Service through SDN Network, the service was delivered with latency decreased by >90% (compared to the cases when the MEC technique is not applied), with PacketLoss of almost 0 and with high performance QoE. In addition these strong Contributions, the ‘Big’ innovation achieved in this work through simulations is that the quality of delivered IPTV Service did not change according to the increasing of the end-users.This latency of delivering the video streaming services did not change. This means that the IPTV Service providers will increase their benefits by ensuring in the same time also the delivering of service with high quality and performance toward innumerous end users. Consequently, MEC Technology and SDN solution will be the two right and "smart" network choices that will boost the development of the 5th Mobile generation and will significantly improve the benefit of Video Streaming services offered by current providers worldwide (Netflix, HULU, Amazon Prime, YouTube, etc).
1 Semantic Scholar 
2 Doc Player 
3 Scribd 
4 SlideShare 
ETSI, (2016, January 27). Mobile Age Computing. http://www.etsi.org/technologies-clusters/technologies/mobile-edge-computing.
Hasan, M., Dahshan, H., Abdelwanees, A., &Elmoghazy, A.(2020) SDN Mininet Emulator Benchmarking and Result Analysis.2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES), 2020, pp. 355-360, doi: 10.1109/NILES50944.2020.9257913.
Hysenbelliu, E. (2015). A cloud based Architecture for IPTV as a Service. Proceeding of Ballkan Conference on Informatics: Advanced in ICT, pp.59-64.
Hysenbelliu, E. (2017). GPU Implementation over IPTV Software Defined Networking.Vol. 7 - Issue 8 August 2017, International Journal of Engineering Research and Applications IJERA, ISSN: 2248-9622. www.ijera.com
Hysenbelliu, E. (2017).Toward an Enhanced Quality of IPTV Media Server Architecture over Software Defined Networking. Vol:11.International Journal of Computer and Information Engineering, World Academy of Science, Engineering and Technology. ICSED Berlin, ISNI:0000000091950263. No:5
Hysenbelliu, E., &Durresi, A (2018). The Evaluation of (CapEx/OpEx) Cost reduction of IPTV Service delivery using SDN Solution. Volume 20.IOSR Journal of Computer Engineering (IOSRJCE) e-ISSN: 2278-0661, p -ISSN: 2278-8727, Issue 5, Ver. I , PP 46-53 www.iosrjournals.org.
Nam, H., (2016). Measuring and Improving the Quality of Experience of Adaptive Rate Video Doctoral dissertacion,Columbia University].https://doi.org/10.7916/D82B8Z7V
Nardini, G., Virdis, A., &Stea,G. (2016). Simulating LTE/LTE-Advanced Networks with SimuLTE.In: Obaidat M., Ören T., Kacprzyk J., Filipe J. (eds) Simulation and Modeling Methodologies, Technologies and Applications. Advances in Intelligent Systems and Computing, vol 402. Springer, Cham. https://doi.org/10.1007/978-3-319-26470-7_5
Nardini, G.,Virdis, A.,Stea,G.,&Buono, A. (2018).SimuLTE-MEC: Extending SimuLTE for Multi-Access Edge Computing, EPiC Series in Computing Volume 56, Pages 35-42 Proceedings of the 5th International OMNeT++ Community Sum
Sabella, D., Veillant, A., Kurre, A.,Rauschenbach, U.,&Giust, F. (2016). Mobile-Edge Computing Architecture: The role of MEC in the Internet of Things. IEEE Consumer Electronics Magazine 5(4):84-91 https://doi.org/:10.1109/MCE.2016.2590118
Sezer, S., Scott-Hayward, S., Chouhan, P. K., Fraser, B., Lake, D., Finnegan, J., Vilijoen, N., Miller, M., & Rao, N. (2016). Are We Ready for SDN? Implementation Challenges for Software-Defined Networks. IEEE Communications Magazine, 51(7), 36-43. https://doi.org/10.1109/MCOM.2013.6553676
Shahzadi, S., Iqbal, M., &Dagiuklas, T. (2017). Multi-access edge computing: open issues, challenges and future perspectives. J Cloud Comp 6, 30. https://doi.org/10.1186/s13677-017-0097-
Dr. Esmeralda Make Hysenbelliu
Faculty of Information Technology, Computer Engineering Department, Polytechnic University, Tirana - Germany
esmeralda.hysenbelliu@gmail.com
Professor Arjan Durresi
Computer and Information Science Department, Indiana University - United States of America


CREATE AUTHOR ACCOUNT
 
LAUNCH YOUR SPECIAL ISSUE
View all special issues >>
 
PUBLICATION VIDEOS