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

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 p...

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Bibliographic Details
Published in:IEEE systems journal 2021-12, Vol.15 (4), p.5094-5097
Main Authors: Dao, Nhu-Ngoc, Ngo, Duy Trong, Dinh, Ngoc-Thanh, Phan, Trung V., Vo, Nam D., Cho, Sungrae, Braun, Torsten
Format: Article
Language:English
Subjects:
Adaptation models
Adaptive bitrate streaming (ABS)
Bandwidth
Bit rate
cache balancing
Caching
edge caching systems (ECSs)
Genetic algorithms
Genetics
Machine learning
Mathematical model
Optimization
Performance evaluation
Servers
Streaming media
Tradeoffs
Video data
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Summary: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.
ISSN:1932-8184
1937-9234
DOI:10.1109/JSYST.2020.3019035