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A New Efficient Architecture for Adaptive Bit-Rate Video Streaming

Author

Listed:
  • Muhammad Hamza Bin Waheed

    (Department of Computer Science, Capital University of Science and Technology, Islamabad 44000, Pakistan
    These authors contributed equally to this work.)

  • Faisal Jamil

    (Department of Computer Engineering, Jeju National University, Jejusi 63243, Korea)

  • Amir Qayyum

    (Department of Computer Science, Capital University of Science and Technology, Islamabad 44000, Pakistan)

  • Harun Jamil

    (Department of Electronic Engineering, Jeju National University, Jeju 63243, Korea
    These authors contributed equally to this work.)

  • Omar Cheikhrouhou

    (College of CIT, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia)

  • Muhammad Ibrahim

    (Department of Computer Engineering, Jeju National University, Jejusi 63243, Korea)

  • Bharat Bhushan

    (School of Engineering and Technology (SET), Sharda University, Uttar Pradesh 201310, India)

  • Habib Hmam

    (Faculty of Engineering, Moncton University, Moncton, NB E1A3E9, Canada)

Abstract

The demand for multimedia content over the Internet protocol network is growing exponentially with Internet users’ growth. Despite high reliability and well-defined infrastructure for Internet protocol communication, Quality of Experience (QoE) is the primary focus of multimedia users while getting multimedia contents with flawless or smooth video streaming in less time with high availability. Failure to provide satisfactory QoE results in the churning of the viewers. QoE depends on various factors, such as those related to the network infrastructure that significantly affects perceived quality. Furthermore, the video delivery’s impact also plays an essential role in the overall QoE that can be made efficient by delivering content through specialized content delivery architectures called Content Delivery Networks (CDNs). This article proposes a design that enables effective and efficient streaming, distribution, and caching multimedia content. Moreover, experiments are carried out for the factors impacting QoE, and their behavior is evaluated. The statistical data is taken from real architecture and analysis. Likewise, we have compared the response time and throughput with the varying segment size in adaptive bitrate video streaming. Moreover, resource usage is also analyzed by incorporating the effect of CPU consumption and energy consumption over segment size, which will be counted as effective efforts for sustainable development of multimedia systems. The proposed architecture is validated and indulged as a core component for video streaming based on the use case of a Mobile IPTV solution for 4G/LTE Users.

Suggested Citation

  • Muhammad Hamza Bin Waheed & Faisal Jamil & Amir Qayyum & Harun Jamil & Omar Cheikhrouhou & Muhammad Ibrahim & Bharat Bhushan & Habib Hmam, 2021. "A New Efficient Architecture for Adaptive Bit-Rate Video Streaming," Sustainability, MDPI, vol. 13(8), pages 1-20, April.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:8:p:4541-:d:539254
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    References listed on IDEAS

    as
    1. Emilio Abad-Segura & Mariana-Daniela González-Zamar & Antonio Luque-de la Rosa & María Belén Morales Cevallos, 2020. "Sustainability of Educational Technologies: An Approach to Augmented Reality Research," Sustainability, MDPI, vol. 12(10), pages 1-28, May.
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