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A cache-level quality of experience metric to characterize ICNs for adaptive streaming

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A cache-level quality of experience metric to characterize ICNs for adaptive streaming. / Li, Wenjie; Fayed, Marwan; Oteafy, Sharief M. A. ; Hassanein, Hossam S.

In: IEEE Communications Letters, Vol. 23, No. 2, 8594670, 02.2019, p. 262-265.

Research output: Contribution to journalArticle

Harvard

Li, W, Fayed, M, Oteafy, SMA & Hassanein, HS 2019, 'A cache-level quality of experience metric to characterize ICNs for adaptive streaming' IEEE Communications Letters, vol. 23, no. 2, 8594670, pp. 262-265. https://doi.org/10.1109/LCOMM.2018.2890223

APA

Li, W., Fayed, M., Oteafy, S. M. A., & Hassanein, H. S. (2019). A cache-level quality of experience metric to characterize ICNs for adaptive streaming. IEEE Communications Letters, 23(2), 262-265. [8594670]. https://doi.org/10.1109/LCOMM.2018.2890223

Vancouver

Li W, Fayed M, Oteafy SMA, Hassanein HS. A cache-level quality of experience metric to characterize ICNs for adaptive streaming. IEEE Communications Letters. 2019 Feb;23(2):262-265. 8594670. https://doi.org/10.1109/LCOMM.2018.2890223

Author

Li, Wenjie ; Fayed, Marwan ; Oteafy, Sharief M. A. ; Hassanein, Hossam S. / A cache-level quality of experience metric to characterize ICNs for adaptive streaming. In: IEEE Communications Letters. 2019 ; Vol. 23, No. 2. pp. 262-265.

Bibtex - Download

@article{8c0b743820af41baabc2d63b86842add,
title = "A cache-level quality of experience metric to characterize ICNs for adaptive streaming",
abstract = "Adaptive streaming has motivated Information- Centric Network (ICN) designs to improve end-user quality of experience (QoE). However, their management and evaluation rely either on conventional cache-level metrics that are poor representations of QoE, or consumer-side indicators that are opaque to network services. This paper proposes a measure to bridge the gap between cache performance and consumer QoE. We introduce Maximal Sustainable Bitrate (MSB), defined as the highest bitrate deliverable in time to be in time to meet a given request without buffering. Based on our observations, we posit that QoE is maximal when requested bitrates match a cache’s MSB for that content. We design a cache-level reward function as a benchmark metric that measures the difference between requested bitrates and MSB. We hypothesize that aggregated rewards are an indicator of overall system performance. Performance evaluations show high correlation between the sum of cache rewards and consumer QoE.",
keywords = "Dynamic Adaptive Streaming, In-network caching, Performance metrics",
author = "Wenjie Li and Marwan Fayed and Oteafy, {Sharief M. A.} and Hassanein, {Hossam S.}",
year = "2019",
month = "2",
doi = "10.1109/LCOMM.2018.2890223",
language = "English",
volume = "23",
pages = "262--265",
journal = "IEEE Communications Letters",
issn = "1089-7798",
publisher = "IEEE",
number = "2",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - A cache-level quality of experience metric to characterize ICNs for adaptive streaming

AU - Li, Wenjie

AU - Fayed, Marwan

AU - Oteafy, Sharief M. A.

AU - Hassanein, Hossam S.

PY - 2019/2

Y1 - 2019/2

N2 - Adaptive streaming has motivated Information- Centric Network (ICN) designs to improve end-user quality of experience (QoE). However, their management and evaluation rely either on conventional cache-level metrics that are poor representations of QoE, or consumer-side indicators that are opaque to network services. This paper proposes a measure to bridge the gap between cache performance and consumer QoE. We introduce Maximal Sustainable Bitrate (MSB), defined as the highest bitrate deliverable in time to be in time to meet a given request without buffering. Based on our observations, we posit that QoE is maximal when requested bitrates match a cache’s MSB for that content. We design a cache-level reward function as a benchmark metric that measures the difference between requested bitrates and MSB. We hypothesize that aggregated rewards are an indicator of overall system performance. Performance evaluations show high correlation between the sum of cache rewards and consumer QoE.

AB - Adaptive streaming has motivated Information- Centric Network (ICN) designs to improve end-user quality of experience (QoE). However, their management and evaluation rely either on conventional cache-level metrics that are poor representations of QoE, or consumer-side indicators that are opaque to network services. This paper proposes a measure to bridge the gap between cache performance and consumer QoE. We introduce Maximal Sustainable Bitrate (MSB), defined as the highest bitrate deliverable in time to be in time to meet a given request without buffering. Based on our observations, we posit that QoE is maximal when requested bitrates match a cache’s MSB for that content. We design a cache-level reward function as a benchmark metric that measures the difference between requested bitrates and MSB. We hypothesize that aggregated rewards are an indicator of overall system performance. Performance evaluations show high correlation between the sum of cache rewards and consumer QoE.

KW - Dynamic Adaptive Streaming

KW - In-network caching

KW - Performance metrics

U2 - 10.1109/LCOMM.2018.2890223

DO - 10.1109/LCOMM.2018.2890223

M3 - Article

VL - 23

SP - 262

EP - 265

JO - IEEE Communications Letters

T2 - IEEE Communications Letters

JF - IEEE Communications Letters

SN - 1089-7798

IS - 2

M1 - 8594670

ER -

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ID: 257071675