Imperial College London
Portrait Picture

ProfessorDenizGunduz

Faculty of Engineering, Department of Electrical and Electronic Engineering

Professor in Information Processing
 
 
 
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Contact

 

+44 (0)20 7594 6218d.gunduz Website

 
 
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Assistant

 

Ms Joan O'Brien +44 (0)20 7594 6316

 
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Location

 

1016Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Yang:2017:10.1109/ICCW.2017.7962820,
author = {Yang, Q and Mohammadi, Amiri and Gunduz, D},
doi = {10.1109/ICCW.2017.7962820},
publisher = {IEEE},
title = {Audience retention rate aware coded video caching},
url = {http://dx.doi.org/10.1109/ICCW.2017.7962820},
year = {2017}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - Users often do not watch an online video content in its entirety, and abort the video before it is completed. This is captured by the notion of audience retention rate, which indicates the portion of a video users watch on average. A decentralized coded caching scheme, called partial coded caching (PCC), is proposed here to take into account both the popularity, and the audience retention rate of the video files in a database. The achievable average delivery rate of PCC is characterised over all possible demand combinations. Two different cache allocation schemes, called the optimal cache allocation (OCA) and the popularity based cache allocation (PCA), are proposed to allocate cache capacities among the different chunks of video files. Numerical results validate that the proposed coded caching scheme, either with the OCA or the PCA, outperforms conventional uncoded caching, as well as the state-of-the-art coded caching schemes that consider only file popularities.
AU  - Yang,Q
AU  - Mohammadi,Amiri
AU  - Gunduz,D
DO  - 10.1109/ICCW.2017.7962820
PB  - IEEE
PY  - 2017///
SN  - 2474-9133
TI  - Audience retention rate aware coded video caching
UR  - http://dx.doi.org/10.1109/ICCW.2017.7962820
UR  - http://hdl.handle.net/10044/1/44811
ER  -
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