Hit Ratio and Content Quality Tradeoff for Adaptive Bitrate Streaming in Edge Caching Systems
- Authors
- Dao, Nhu-Ngoc; Ngo, Duy Trong; Dinh, Ngoc-Thanh; Phan, Trung V.; Vo, Nam D.; Cho, Sungrae; Braun, Torsten
- Issue Date
- Dec-2021
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Keywords
- Bit rate; Servers; Streaming media; Adaptation models; Genetics; Bandwidth; Mathematical model; Adaptive bitrate streaming (ABS); cache balancing; edge caching systems (ECSs)
- Citation
- IEEE SYSTEMS JOURNAL, v.15, no.4, pp.5094 - 5097
- Journal Title
- IEEE SYSTEMS JOURNAL
- Volume
- 15
- Number
- 4
- Start Page
- 5094
- End Page
- 5097
- URI
- http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/41667
- DOI
- 10.1109/JSYST.2020.3019035
- ISSN
- 1932-8184
- Abstract
- 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.
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