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Video Transcoding Services in Cloud Computing Environment

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Cloud Computing for Optimization: Foundations, Applications, and Challenges

Part of the book series: Studies in Big Data ((SBD,volume 39))

Abstract

Nowadays, online video consumption is an outstanding source of infotainment. Current social media era allows people to communicate with others around the world via Facebook, LinkedIn, YouTube and other platforms by sharing/sending photos, videos over the Internet. The proliferation of viewing platforms, file formats, and streaming technologies generate the need for video transcoding. The transcoding process ensures that video content can be consumed from any networks and devices, but it is a time-consuming, computation-intensive method and requires high storage capacity. The rise of video distribution and consumption makes the video service providers face unpredictable CAPEX and OPEX, for delivering more videos across multi-screens and networks. A cloud-based transcoding is used to overcome the limitations with on-premise video transcoding. The virtually unlimited resources of the cloud transcoding solution allow video service providers to pay as they use today, with the assurance of providing online support to handle unpredictable needs with lower cost. This chapter is designed to discuss various techniques related to cloud-based transcoding system. Various sections in this chapter also present the cloud-based video transcoding architecture, and performance metrics used to quantify cloud transcoding system.

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Authors and Affiliations

  1. NIT Rourkela, Rourkela, 769008, India

    Sampa Sahoo, Bibhudatta Sahoo & Ashok Kumar Turuk

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  1. Sampa Sahoo
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  2. Bibhudatta Sahoo
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  3. Ashok Kumar Turuk
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Corresponding author

Correspondence to Sampa Sahoo .

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Editors and Affiliations

  1. School of Computer Engineering, KIIT University, Bhubaneswar, Odisha, India

    Bhabani Shankar Prasad Mishra

  2. School of Computer Engineering, KIIT University, Bhubaneswar, Odisha, India

    Himansu Das

  3. Department of Information and Communication Technology , Fakir Mohan University, Balasore, Odisha, India

    Satchidananda Dehuri

  4. School of Computer Engineering, KIIT University, Bhubaneswar, Odisha, India

    Alok Kumar Jagadev

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Sahoo, S., Sahoo, B., Turuk, A.K. (2018). Video Transcoding Services in Cloud Computing Environment. In: Mishra, B., Das, H., Dehuri, S., Jagadev, A. (eds) Cloud Computing for Optimization: Foundations, Applications, and Challenges. Studies in Big Data, vol 39. Springer, Cham. https://doi.org/10.1007/978-3-319-73676-1_16

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  • DOI: https://doi.org/10.1007/978-3-319-73676-1_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73675-4

  • Online ISBN: 978-3-319-73676-1

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