Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/151935
Title: Orchestrating caching, transcoding and request routing for adaptive video streaming over ICN
Authors: Hu, Han
Jin, Yichao
Wen, Yonggang
Westphal, Cedric
Keywords: Engineering::Computer science and engineering
Issue Date: 2019
Source: Hu, H., Jin, Y., Wen, Y. & Westphal, C. (2019). Orchestrating caching, transcoding and request routing for adaptive video streaming over ICN. ACM Transactions On Multimedia Computing, Communications and Applications, 15(1), 24-. https://dx.doi.org/10.1145/3289184
Journal: ACM Transactions on Multimedia Computing, Communications and Applications
Abstract: Information-centric networking (ICN) has been touted as a revolutionary solution for the future of the Internet, which will be dominated by video traffic. This work investigates the challenge of distributing video content of adaptive bitrate (ABR) over ICN. In particular, we use the in-network caching capability of ICN routers to serve users; in addition, with the help of named function, we enable ICN routers to transcode videos to lower-bitrate versions to improve the cache hit ratio. Mathematically, we formulate this design challenge into a constrained optimization problem, which aims to maximize the cache hit ratio for service providers and minimize the service delay for endusers. We design a two-step iterative algorithm to find the optimum. First, given a content management scheme, we minimize the service delay via optimally configuring the routing scheme. Second, we maximize the cache hits for a given routing policy. Finally, we rigorously prove its convergence. Through extensive simulations, we verify the convergence and the performance gains over other algorithms. We also find that more resources should be allocated to ICN routers with a heavier request rate, and the routing scheme favors the shortest path to schedule more traffic.
URI: https://hdl.handle.net/10356/151935
ISSN: 1551-6857
DOI: 10.1145/3289184
Rights: © 2019 Association for Computing Machinery. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SCSE Journal Articles

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