Dynamic adaptive streaming over HTTP-based 3D resource allocation algorithm
With the improvement of people's quality of life, the demand for three-dimensional (3D) video has gradually grown in recent years. However, there are many challenges to providing high-definition and high-fidelity 3D video. One of the most difficult challenges for users to provide 3D video is a...
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| Veröffentlicht in: | Journal of engineering (Stevenage, England) Jg. 2019; H. 23; S. 8888 - 8890 |
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| Sprache: | Englisch |
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The Institution of Engineering and Technology
01.12.2019
Wiley |
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| ISSN: | 2051-3305, 2051-3305 |
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| Abstract | With the improvement of people's quality of life, the demand for three-dimensional (3D) video has gradually grown in recent years. However, there are many challenges to providing high-definition and high-fidelity 3D video. One of the most difficult challenges for users to provide 3D video is a large amount of energy lost during 3D video transmission. In this study, the authors present a 3D resource allocation system architecture, which can effectively alleviate the problem of large transmission energy loss. They propose that multiple users in a small cell can share video resources in the downlink from the cloud to the client. In the cloud processing, multiple users can share part of the cloud computing work cycle. In the downlink, multiple users can share part of video resources. They presume that some share output bits can be multicast to overall users, and the other bits can be sent to every user in unicast. They model this and derive the simulation results. The simulation results show that the resource allocation scheme in this study achieves greater energy savings under certain conditions than the traditional case without sharing the resource. |
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| AbstractList | With the improvement of people's quality of life, the demand for three‐dimensional (3D) video has gradually grown in recent years. However, there are many challenges to providing high‐definition and high‐fidelity 3D video. One of the most difficult challenges for users to provide 3D video is a large amount of energy lost during 3D video transmission. In this study, the authors present a 3D resource allocation system architecture, which can effectively alleviate the problem of large transmission energy loss. They propose that multiple users in a small cell can share video resources in the downlink from the cloud to the client. In the cloud processing, multiple users can share part of the cloud computing work cycle. In the downlink, multiple users can share part of video resources. They presume that some share output bits can be multicast to overall users, and the other bits can be sent to every user in unicast. They model this and derive the simulation results. The simulation results show that the resource allocation scheme in this study achieves greater energy savings under certain conditions than the traditional case without sharing the resource. |
| Author | Deng, Yujie Tian, Zhigang Xu, Zhan |
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| Keywords | high-fidelity 3D video 3D video transmission video resources hypermedia people resource allocation scheme HTTP-based 3D providing high-definition multiple users resource allocation cloud processing energy conservation dynamic adaptive video streaming greater energy savings transmission energy loss cloud computing share output bits three-dimensional video |
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| SubjectTerms | 3D video transmission 7th International Symposium on Test Automation and Instrumentation (ISTAI 2018) cloud computing cloud processing dynamic adaptive energy conservation greater energy savings high-fidelity 3d video HTTP‐based 3D hypermedia multiple users people providing high-definition resource allocation resource allocation scheme share output bits three-dimensional video transmission energy loss video resources video streaming |
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| Title | Dynamic adaptive streaming over HTTP-based 3D resource allocation algorithm |
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