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Cost Minimization of Cloud Services for On-Demand Video Streaming

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Abstract

Cloud Technology is adopted to process video streams because of the great features provided to video stream providers such as the high flexibility of using virtual machines and storage servers at low rates. Video stream providers prepare several formats of the same video to satisfy all users’ devices specification. Video streams in the cloud are either transcoded or stored. However, storing all formats of videos is still costly. In this research, we develop an approach that optimizes cloud storage. Particularly, we propose a method that decides which video in which cloud storage should be stored to minimize the overall cost of cloud services. The results of the proposed approach are promising, it shows effectiveness when the number of frequently accessed video grow in a repository, and when the views of videos increases. The proposed method decreases the cost of using cloud services by up to 22%.

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Notes

  1. https://aws.amazon.com/.

  2. For a video on demand VOD, we assume that GOPs have been accessed by users, thus the transcoding time was computed before. In case of live streaming, the transcoding time of GOPs could not be based on historical information.

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Authors and Affiliations

  1. Department of Mathematics and Computer Science, University of Mount Union, Alliance, OH, 44601, USA

    Mahmoud Darwich

  2. Electrical Engineering Department, Southern University and A&M College, Baton Rouge, LA, 70807, USA

    Yasser Ismail

  3. Microchip Technology Inc., San Jose, CA, 95134, USA

    Talal Darwich

  4. Department of Electrical and Computer Engineering, University of Louisiana at Lafayette, Lafayette, LA, 70504, USA

    Magdy Bayoumi

Authors
  1. Mahmoud Darwich
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  2. Yasser Ismail
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  3. Talal Darwich
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  4. Magdy Bayoumi
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Correspondence to Mahmoud Darwich.

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Darwich, M., Ismail, Y., Darwich, T. et al. Cost Minimization of Cloud Services for On-Demand Video Streaming. SN COMPUT. SCI. 3, 226 (2022). https://doi.org/10.1007/s42979-022-01140-x

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