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Hit Ratio and Content Quality Tradeoff for Adaptive Bitrate Streaming in Edge Caching Systems
- Source :
- IEEE Systems Journal. 15:5094-5097
- Publication Year :
- 2021
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2021.
-
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.
- Subjects :
- 021103 operations research
Optimization problem
Computer Networks and Communications
Computer science
Distributed computing
0211 other engineering and technologies
02 engineering and technology
Computer Science Applications
Adaptive bitrate streaming
Control and Systems Engineering
Knapsack problem
Convergence (routing)
Genetic algorithm
Enhanced Data Rates for GSM Evolution
Cache
Electrical and Electronic Engineering
Selection (genetic algorithm)
Information Systems
Subjects
Details
- ISSN :
- 23737816 and 19328184
- Volume :
- 15
- Database :
- OpenAIRE
- Journal :
- IEEE Systems Journal
- Accession number :
- edsair.doi...........c1c9c3817a5b19bb2c39832fc1ec7fc6