Transcoding-Enabled Edge Caching and Delivery for Tile-Based Adaptive 360-Degree Video Streaming

The high-definition and panorama characteristics of 360-degree video make its transmission in existing networks more challenging. To alleviate this problem, this paper leverages transcoding-enabled edge caching in tile-granularity and makes joint caching, transcoding and delivery decisions among mul...

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Vydané v:Visual communications and image processing (Online) s. 1 - 4
Hlavní autori: Lu, Qiaoyu, Li, Chenglin, Zou, Junni, Tang, Kexin, Wang, Qi, Xiong, Hongkai
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Jazyk:English
Vydavateľské údaje: IEEE 01.12.2019
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ISSN:2642-9357
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Abstract The high-definition and panorama characteristics of 360-degree video make its transmission in existing networks more challenging. To alleviate this problem, this paper leverages transcoding-enabled edge caching in tile-granularity and makes joint caching, transcoding and delivery decisions among multiple edge servers for adaptive 360-degree video streaming. We formulate the joint caching, transcoding and delivery decision-making problem as a multivariate nonlinear integer programming problem, aiming at minimizing the aggregate network operational cost and balancing the server load, subject to storage and computation capacity constraints of the edge servers. Through decomposition and relaxation approach, the original intractable optimization problem is solved by an effective iterative algorithm. Finally, simulation results show that the proposed iterative algorithm outperforms the existing schemes in terms of resource utilization, cost reduction and server coordination.
AbstractList The high-definition and panorama characteristics of 360-degree video make its transmission in existing networks more challenging. To alleviate this problem, this paper leverages transcoding-enabled edge caching in tile-granularity and makes joint caching, transcoding and delivery decisions among multiple edge servers for adaptive 360-degree video streaming. We formulate the joint caching, transcoding and delivery decision-making problem as a multivariate nonlinear integer programming problem, aiming at minimizing the aggregate network operational cost and balancing the server load, subject to storage and computation capacity constraints of the edge servers. Through decomposition and relaxation approach, the original intractable optimization problem is solved by an effective iterative algorithm. Finally, simulation results show that the proposed iterative algorithm outperforms the existing schemes in terms of resource utilization, cost reduction and server coordination.
Author Wang, Qi
Lu, Qiaoyu
Zou, Junni
Tang, Kexin
Xiong, Hongkai
Li, Chenglin
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  organization: Shanghai Jiao Tong University,School of Electronic Information and Electrical Engineering,Shanghai,China
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  givenname: Junni
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  organization: Shanghai Jiao Tong University,School of Electronic Information and Electrical Engineering,Shanghai,China
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  organization: Shanghai Jiao Tong University,School of Electronic Information and Electrical Engineering,Shanghai,China
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  givenname: Hongkai
  surname: Xiong
  fullname: Xiong, Hongkai
  organization: Shanghai Jiao Tong University,School of Electronic Information and Electrical Engineering,Shanghai,China
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Snippet The high-definition and panorama characteristics of 360-degree video make its transmission in existing networks more challenging. To alleviate this problem,...
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SubjectTerms Adaptive 360-degree video streaming
Aggregates
Costs
delivery
edge caching
edge computing
Iterative methods
Optimization
Resource management
Servers
Simulation
tile-granularity
Transcoding
Videos
Visual communication
Title Transcoding-Enabled Edge Caching and Delivery for Tile-Based Adaptive 360-Degree Video Streaming
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