Hit Ratio and Content Quality Tradeoff for Adaptive Bitrate Streaming in Edge Caching Systems

Title: Hit Ratio and Content Quality Tradeoff for Adaptive Bitrate Streaming in Edge Caching Systems
Creator: Dao, Nhu-Ngoc; Ngo, Duy Trong; Dinh, Ngoc-Thanh; Phan, Trung V.; Vo, Nam D.; Cho, Sungrae; Braun, Torsten
Relation: IEEE Systems Journal Vol. 15, Issue 4, p. 5094-5097
Publisher Link: http://dx.doi.org/10.1109/JSYST.2020.3019035
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Resource Type: journal article
Date: 2021
Description: This paper addresses the tradeoff problem between hit ratio and content quality in edge caching systems for multiuser adaptive bitrate streaming (ABS) services. A dynamic policy for cache decision and quality level selection for each ABS content during every cache cycle is proposed. Achieving this policy is NP-complete. For this, the considered problem is transformed into a nested multidimensional 0/1 knapsack optimization problem which is then resolved by a cooperative transfer learning-accelerated genetic algorithm. Performance evaluation demonstrates an adaptation of the proposed algorithm on various video stream popularity models in terms of algorithmic convergence and cache balancing.
Subject: adaptive bitrate streaming (ABS); cache balancing; edge caching systems (ECSs); algorithmic convergence
Identifier: http://hdl.handle.net/1959.13/1435484
Identifier: uon:39735
Identifier: ISSN:1932-8184
Language: eng