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Device-to-device streaming video caching for cellular download cost reduction

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Abstract

This paper proposes a Device-to-Device cooperative caching framework for streaming video consumption by mobile users. For downloading video with cooperative caching, a mobile device first searches within its neighboring Bluetooth-connected peers for whole or parts of the requested video before downloading them from a Content Provider’s server. A specific cooperative caching framework, namely, value-based caching is proposed in which the value of caching a hierarchically coded streaming video segment is defined for given pricing and video sharing models. Within this framework, we develop an Adaptive Quality (AQ) provisioning algorithm that minimizes the overall video content provisioning cost incurred due to the bandwidth usage of a cellular network. Detailed simulation experiments for functional validation and performance evaluation in comparison with other comparable caching strategies are then performed under different protocols and network parameters. It is shown that the proposed mechanism is able to appreciably reduce the overall video provisioning cost in the presence of end-user mobility.

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Authors and Affiliations

  1. Electrical and Computer Engineering, Michigan State University, East Lansing, MI, USA

    Rui Wang & Subir Biswas

  2. Under Armour Connected Fitness, San Francisco, CA, USA

    Faezeh Hajiaghajani

Authors
  1. Rui Wang
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  2. Faezeh Hajiaghajani
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  3. Subir Biswas
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Correspondence to Rui Wang.

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Wang, R., Hajiaghajani, F. & Biswas, S. Device-to-device streaming video caching for cellular download cost reduction. Peer-to-Peer Netw. Appl. 13, 1457–1473 (2020). https://doi.org/10.1007/s12083-020-00899-1

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