Most of previous video recording devices in mobile vehicles commonly store captured video contents locally. With the rapid development of 4G/Wi Fi networks, there emerges a new trend to equip video recording devices w...Most of previous video recording devices in mobile vehicles commonly store captured video contents locally. With the rapid development of 4G/Wi Fi networks, there emerges a new trend to equip video recording devices with wireless interfaces to enable video uploading to the cloud for video playback in a later time point. In this paper, we propose a QoE-aware mobile cloud video recording scheme in the roadside vehicular networks, which can adaptively select the proper wireless interface and video bitrate for video uploading to the cloud. To maximize the total utility, we need to design a control strategy to carefully balance the transmission cost and the achieved QoE for users. To this purpose, we investigate the tradeoff between cost incurred by uploading through cellular networks and the achieved QoE of users. We apply the optimization framework to solve the formulated problem and design an online scheduling algorithm. We also conduct extensive trace-driven simulations and our results show that our algorithm achieves a good balance between the transmission cost and user QoE.展开更多
To cope with the rapid growth of mobile video, video providers have leveraged cloud technologies to deploy their mobile video service system for more cost-effective and scalable performance. The emergence of Software-...To cope with the rapid growth of mobile video, video providers have leveraged cloud technologies to deploy their mobile video service system for more cost-effective and scalable performance. The emergence of Software-Defined Networking(SDN) provides a promising solution to manage the underlying network. In this paper, we introduce an SDN-enabled cloud mobile video distribution architecture and propose a joint video placement, request dispatching and traffic management mechanism to improve user experience and reduce the system operational cost. We use a utility function to capture the two aspects of user experience: the level of satisfaction and average latency, and formulate the joint optimization problem as a mixed integer programming problem. We develop an optimal algorithm based on dual decomposition and prove its optimality. We conduct simulations to evaluate the performance of our algorithm and the results show that our strategy can effectively cut down the total cost and guarantee user experience.展开更多
The increasing popularity of smart mobile devices and the rise of online services has increased the requirements for efficient dissemination of social video contents. In this paper,we study the problem of distributing...The increasing popularity of smart mobile devices and the rise of online services has increased the requirements for efficient dissemination of social video contents. In this paper,we study the problem of distributing video from cloud server to users in partially connected cooperative D2 D network using network coding. In such a scenario, the transmission conflicts occur from simultaneous transmissions of multiple devices, and the scheduling decision should be made not only on the encoded packets but also on the set of transmitting devices. We analyze the lower bound and give an integer linear formulation of the joint optimization problem over the set of transmitting devices and the packet combinations.We also propose a heuristic solution for this setup using a conflict graph and local graph at every device. Simulation results show that our coding scheme significantly reduces the number of transmission slots, which will increase the efficiency of video delivery.展开更多
Although Video-On-Demand (VOD) has been in existence for years, its cross-platform applicability in cloud service environments is still in increasing need. In this paper, an Adaptive Video-On-Demand (AVOD) framework t...Although Video-On-Demand (VOD) has been in existence for years, its cross-platform applicability in cloud service environments is still in increasing need. In this paper, an Adaptive Video-On-Demand (AVOD) framework that is suitable for private cloud environments is proposed. Private cloud has the key advantage of satisfying the real need of both consumers and providers. Hence, demands such as reasonable benefits for provider and high quality for consumers are essential design considerations in this framework. The difficulty is that these two factors are always high in one end and low in the other, and hard to find a delicate balance. Cloud service could be an opportunity for the multimedia providers to obtain higher benefits and cost less for the consumers but with an even better quality in service. An adaptive framework for such a cloud service environment is proposed to resolve this problem. Some interesting phenomena are observed from the experimental results including CPU utilization, data reading and writing speed, memory usage, port configuration execution time, and bandwidth.展开更多
基于分治和按需传输思想的分块传输技术是解决三维全息视频流传输的有效手段.然而,现有的分块方案要么缺乏自适应机制,要么不适用于移动实时通信场景.为此,本文提出了VVSTiler(Volumetric Video Streaming Tiling selector),一种面向全...基于分治和按需传输思想的分块传输技术是解决三维全息视频流传输的有效手段.然而,现有的分块方案要么缺乏自适应机制,要么不适用于移动实时通信场景.为此,本文提出了VVSTiler(Volumetric Video Streaming Tiling selector),一种面向全息视频通信的自适应分块传输方法,能够在动态且有限的计算和带宽资源下最大化视频的观感质量.具体而言,本文对不同粒度的分块方案带来的影响进行了初步研究,发现细粒度的分块方案可提高动态网络资源的利用率,粗粒度的分块方案可保证视频编解码效率和鲁棒性.基于此,本文构建了考虑预测视口、可用计算资源以及网络带宽等上下文信息的视频观感质量优化问题,并设计了一个高效的求解方案以支持在线的分块粒度决策.本文在8iVFB(8i Voxelized Full Bodies)标准数据集上将VVSTiler与当前主流的分块传输方法进行了比较.实验结果表明,VVSTiler在有偏差的视口预测情况下实现了高达60.4%的视频观感质量提升,在较准确的视口预测情况下平均每帧视频节省了27%的带宽资源.展开更多
探讨基于公安移动信息网的云会商系统设计及应用。首先介绍云会商系统的概况,其次详细阐述云会商系统的设计,包括系统架构、组成、功能、安全和可靠性等方面的设计;再次,介绍云会商系统的关键技术,包括云化虚拟化技术、多点控制单元(Mul...探讨基于公安移动信息网的云会商系统设计及应用。首先介绍云会商系统的概况,其次详细阐述云会商系统的设计,包括系统架构、组成、功能、安全和可靠性等方面的设计;再次,介绍云会商系统的关键技术,包括云化虚拟化技术、多点控制单元(Multipoint Control Unit,MCU)资源池化、会话初始协议(Session Initiation Protocol,SIP)和可伸缩视频编码(Scalable Video Coding,SVC)多流转发等;最后,探讨云会商系统的应用场景。展开更多
基金supported in part by the National Science Foundation of China under Grant 61272397,Grant 61572538,Grant 61174152,Grant 61331008in part by the Guangdong Natural Science Funds for Distinguished Young Scholar under Grant S20120011187
文摘Most of previous video recording devices in mobile vehicles commonly store captured video contents locally. With the rapid development of 4G/Wi Fi networks, there emerges a new trend to equip video recording devices with wireless interfaces to enable video uploading to the cloud for video playback in a later time point. In this paper, we propose a QoE-aware mobile cloud video recording scheme in the roadside vehicular networks, which can adaptively select the proper wireless interface and video bitrate for video uploading to the cloud. To maximize the total utility, we need to design a control strategy to carefully balance the transmission cost and the achieved QoE for users. To this purpose, we investigate the tradeoff between cost incurred by uploading through cellular networks and the achieved QoE of users. We apply the optimization framework to solve the formulated problem and design an online scheduling algorithm. We also conduct extensive trace-driven simulations and our results show that our algorithm achieves a good balance between the transmission cost and user QoE.
基金supported by the State Key Program of National Natural Science Foundation of China(Grant No.61233003)National Natural Science Foundation of China(Grant No.61503358)
文摘To cope with the rapid growth of mobile video, video providers have leveraged cloud technologies to deploy their mobile video service system for more cost-effective and scalable performance. The emergence of Software-Defined Networking(SDN) provides a promising solution to manage the underlying network. In this paper, we introduce an SDN-enabled cloud mobile video distribution architecture and propose a joint video placement, request dispatching and traffic management mechanism to improve user experience and reduce the system operational cost. We use a utility function to capture the two aspects of user experience: the level of satisfaction and average latency, and formulate the joint optimization problem as a mixed integer programming problem. We develop an optimal algorithm based on dual decomposition and prove its optimality. We conduct simulations to evaluate the performance of our algorithm and the results show that our strategy can effectively cut down the total cost and guarantee user experience.
基金supported by Fundamental Research Funds for the Central Universities(No.SWU115002,No.XDJK2015C104)
文摘The increasing popularity of smart mobile devices and the rise of online services has increased the requirements for efficient dissemination of social video contents. In this paper,we study the problem of distributing video from cloud server to users in partially connected cooperative D2 D network using network coding. In such a scenario, the transmission conflicts occur from simultaneous transmissions of multiple devices, and the scheduling decision should be made not only on the encoded packets but also on the set of transmitting devices. We analyze the lower bound and give an integer linear formulation of the joint optimization problem over the set of transmitting devices and the packet combinations.We also propose a heuristic solution for this setup using a conflict graph and local graph at every device. Simulation results show that our coding scheme significantly reduces the number of transmission slots, which will increase the efficiency of video delivery.
文摘Although Video-On-Demand (VOD) has been in existence for years, its cross-platform applicability in cloud service environments is still in increasing need. In this paper, an Adaptive Video-On-Demand (AVOD) framework that is suitable for private cloud environments is proposed. Private cloud has the key advantage of satisfying the real need of both consumers and providers. Hence, demands such as reasonable benefits for provider and high quality for consumers are essential design considerations in this framework. The difficulty is that these two factors are always high in one end and low in the other, and hard to find a delicate balance. Cloud service could be an opportunity for the multimedia providers to obtain higher benefits and cost less for the consumers but with an even better quality in service. An adaptive framework for such a cloud service environment is proposed to resolve this problem. Some interesting phenomena are observed from the experimental results including CPU utilization, data reading and writing speed, memory usage, port configuration execution time, and bandwidth.
文摘基于分治和按需传输思想的分块传输技术是解决三维全息视频流传输的有效手段.然而,现有的分块方案要么缺乏自适应机制,要么不适用于移动实时通信场景.为此,本文提出了VVSTiler(Volumetric Video Streaming Tiling selector),一种面向全息视频通信的自适应分块传输方法,能够在动态且有限的计算和带宽资源下最大化视频的观感质量.具体而言,本文对不同粒度的分块方案带来的影响进行了初步研究,发现细粒度的分块方案可提高动态网络资源的利用率,粗粒度的分块方案可保证视频编解码效率和鲁棒性.基于此,本文构建了考虑预测视口、可用计算资源以及网络带宽等上下文信息的视频观感质量优化问题,并设计了一个高效的求解方案以支持在线的分块粒度决策.本文在8iVFB(8i Voxelized Full Bodies)标准数据集上将VVSTiler与当前主流的分块传输方法进行了比较.实验结果表明,VVSTiler在有偏差的视口预测情况下实现了高达60.4%的视频观感质量提升,在较准确的视口预测情况下平均每帧视频节省了27%的带宽资源.
文摘探讨基于公安移动信息网的云会商系统设计及应用。首先介绍云会商系统的概况,其次详细阐述云会商系统的设计,包括系统架构、组成、功能、安全和可靠性等方面的设计;再次,介绍云会商系统的关键技术,包括云化虚拟化技术、多点控制单元(Multipoint Control Unit,MCU)资源池化、会话初始协议(Session Initiation Protocol,SIP)和可伸缩视频编码(Scalable Video Coding,SVC)多流转发等;最后,探讨云会商系统的应用场景。
