A cache-level quality of experience metric to characterize ICNs for adaptive streaming
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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 letter 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.
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 , vol. 23 , no. 2 , 8594670 , pp. 262-265 . https://doi.org/10.1109/LCOMM.2018.2890223
IEEE Communications Letters
© 2018, IEEE. This work has been made available online in accordance with the publisher's policies. This is the author created accepted version manuscript following peer review and as such may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1109/LCOMM.2018.2890223
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