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

Wenjie Li, Marwan Fayed*, Sharief M. A. Oteafy, Hossam S. Hassanein

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

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 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.
Original languageEnglish
Article number8594670
Pages (from-to)262-265
Number of pages4
JournalIEEE Communications Letters
Volume23
Issue number2
Early online date28 Dec 2018
DOIs
Publication statusPublished - Feb 2019

Keywords

  • Dynamic Adaptive Streaming
  • In-network caching
  • Performance metrics

Fingerprint

Dive into the research topics of 'A cache-level quality of experience metric to characterize ICNs for adaptive streaming'. Together they form a unique fingerprint.

Cite this