Evaluation of Technological Solutions and Requirements for Cloud TV Services Based on Decision Support Systems

Cloud TV will play an important role in future pay TV services and is quickly becoming the next arena for TV content providers. This emphasizes the need for a technology roadmap to address several key issues that may affect the deployment of future Cloud TV services. Three alternative technologies, Internet Protocol TV (IPTV), Over the Top (OTT), and Smart TV have been investigated. The methodology used is the analytic hierarchy process based on a decision support system developed for this study. The current work implements and verifies a transparent road mapping model for Cloud TV solutions. The results indicate that OTT seems to be the most efficient and valuable choice and reveal an important blend of social, economic, technological requirements to be taken into account when deploying and/or adopting Cloud TV services from a pay TV operator. Sensitivity analysis is performed to investigate the stability of the results and the accuracy of the approach. The findings will be an important guide for the development of Cloud TV solutions and the improvement of those already deployed.

[1]  Zongpeng Li,et al.  CloudMoV: Cloud-Based Mobile Social TV , 2013, IEEE Transactions on Multimedia.

[2]  Hing Kai Chan,et al.  An AHP approach in benchmarking logistics performance of the postal industry , 2006 .

[3]  Mike Wayne.  Netflix, Amazon, and branded television content in subscription video on-demand portals , 2018 .

[4]  Marimuthu Palaniswami,et al.  Internet of Things (IoT): A vision, architectural elements, and future directions , 2012, Future Gener. Comput. Syst..

[5]  T. Kamalakis,et al.  Evaluation of Optical Wireless Technologies in Home Networking: An Analytical Hierarchy Process Approach , 2011, IEEE/OSA Journal of Optical Communications and Networking.

[6]  Hongfeng Zhu,et al.  A simplified deniable authentication scheme in cloud‐based pay‐TV system with privacy protection , 2019, Int. J. Commun. Syst..

[7]  Patrick Waelbroeck,et al.  Piracy of digital products: A critical review of the theoretical literature , 2006, Inf. Econ. Policy.

[8]  Jorge Ferraz de Abreu,et al.  Survey of Catch-up TV and other time-shift services: a comprehensive analysis and taxonomy of linear and nonlinear television , 2017, Telecommun. Syst..

[9]  C. R. Tripathy,et al.  Deadline sensitive lease scheduling in cloud computing environment using AHP , 2016, J. King Saud Univ. Comput. Inf. Sci..

[10]  Abdul Boztas,et al.  Smart TV forensics: Digital traces on televisions , 2015, Digit. Investig..

[11]  Cong Zhang,et al.  Fog-Based Transcoding for Crowdsourced Video Livecast , 2017, IEEE Communications Magazine.

[12]  Dundar F. Kocaoglu,et al.  Applying the Analytic Hierarchy Process (AHP) to build a strategic framework for technology roadmapping , 2007, Math. Comput. Model..

[13]  Youngjung Geum,et al.  Development of the scenario-based technology roadmap considering layer heterogeneity: An approach using CIA and AHP , 2017 .

[14]  Shu-Chu Sarrina Li,et al.  Television media old and new: A niche analysis of OTT, IPTV, and digital cable in Taiwan , 2017, Telematics Informatics.

[15]  Xiaojiang Du,et al.  Internet Protocol Television (IPTV): The Killer Application for the Next-Generation Internet , 2007, IEEE Communications Magazine.

[16]  Pedro Ferreira,et al.  The Effect of Subscription Video-on-Demand on Piracy: Evidence from a Household-Level Randomized Experiment , 2017, Manag. Sci..

[17]  Khaled Salah,et al.  Performance analysis of content discovery for ad-hoc tactile networks , 2019, Future Gener. Comput. Syst..

[18]  Qi Wu,et al.  The Design of IPTV STB Based on Android , 2013 .

[19]  Youjin Song,et al.  An Approach of Risk Management for Multimedia Streaming Service in Cloud Computing , 2014, MUE 2014.

[20]  Bo Li,et al.  Over-the-top sport: live streaming services, changing coverage rights markets and the growth of media sport portals , 2019, Media, Culture & Society.

[21]  M. I. Qureshi,et al.  Service Quality Dimensions in Pay TV Industry: A Preliminary Study , 2016 .

[22]  Matthew J. Liberatore,et al.  The analytic hierarchy process in medical and health care decision making: A literature review , 2008, Eur. J. Oper. Res..

[23]  Maria Tsinidou,et al.  Evaluation of the factors that determine quality in higher education: an empirical study , 2010 .

[24]  Younghwa Lee,et al.  Investigating the effect of website quality on e-business success: An analytic hierarchy process (AHP) approach , 2006, Decis. Support Syst..

[25]  Thomas Sphicopoulos,et al.  Convergence properties and practical estimation of the probability of rank reversal in pairwise comparisons for multi-criteria decision making problems , 2015, Eur. J. Oper. Res..