Transmission Rate Control Mechanism for Mobile Video in Cloud Computing Environment

ZOU Lu-ning; BAI Guang-wei; SHEN Hang; JI Chuan-wei

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Transmission Rate Control Mechanism for Mobile Video in Cloud Computing Environment

更新时间：2026-09-04

- Transmission Rate Control Mechanism for Mobile Video in Cloud Computing Environment
- Vol. 33, Issue 4, Pages: 102-107(2016)
- 作者机构：
  
  南京工业大学机构计算机科学与技术系,江苏,南京,211816
- 作者简介：
- 基金信息：
- DOI：
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- Published：2016
- 稿件说明：
移动端阅览
邹露宁, 白光伟, 沈航, 纪传伟. 云计算环境下的移动视频传输速率控制机制[J]. 微电子学与计算机, 2016, 33(4): 102-107.

ZOU Lu-ning, BAI Guang-wei, SHEN Hang, et al. Transmission Rate Control Mechanism for Mobile Video in Cloud Computing Environment[J]. 2016, 33(4): 102-107.
邹露宁, 白光伟, 沈航, 纪传伟. 云计算环境下的移动视频传输速率控制机制[J]. 微电子学与计算机, 2016, 33(4): 102-107. DOI：

ZOU Lu-ning, BAI Guang-wei, SHEN Hang, et al. Transmission Rate Control Mechanism for Mobile Video in Cloud Computing Environment[J]. 2016, 33(4): 102-107. DOI：

摘要

提出云计算环境下的移动视频传输速率控制机制

利用云强大的计算和存储能力

扩展手机性能.首先通过隐马尔科夫链预测无线带宽

利用屏幕分辨率和码率的关系

自适应地调节视频传输速率.在此基础上

设计缓存管理算法

进一步提高用户视频访问命中率.仿真实验表明

该机制可以显著提高用户体验和网络带宽的利用率.

Abstract

This paper presents a transmission rate control mechanism in cloud computing environment for mobile video.The combination of mobile and cloud computing

which has a powerful computing and storage capacity

improves the performance of the mobile device.First

the proposed mechanism algorithm can forecast bandwidth by using hidden markov chain.Then using the relationship between hardware and bit rate

the mechanism adjusts bit rate adaptively.On this basis

we design a buffer management algorithm to improve accessing hit rate.Our simulation results demonstrate that the proposed mechanism achieves significant improvement in terms of QoE and network resource utilization.

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references

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林闯, 胡杰, 孔祥震. 用户体验质量(QoE)的模型与评价方法综述[J]. 计算机学报, 2012, 35(1): 1-15. DOI: 1

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