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The future Internet will support pervasive applications and communications models that require end-nodes cooperation, such as fog computing and machine-to-machine communications. Among the many applications, also video streaming can be provided with a cooperative and peer-to-peer approach. Cooperative distribution requires building a distribution overlay on top of the physical topology (the underlay). This work proposes an optimized, cross-layer approach to build this overlay minimizing the impact on the underlay. We design an optimal strategy, which is proven to be NP-complete, and thus not solvable with a distributed, lightweight protocol. The optimal strategy is relaxed exploiting the knowledge on the betweenness centrality of the nodes in the underlay topology, obtaining two easily implementable solutions applicable to any link-state protocol for distributed wireless mesh networks. The additional introduction of heuristic improvements further optimizes the performance in real network scenarios. Extensive simulation results support the theoretical findings using three different network topologies. They show that the relaxed implementations are reasonably close to the optimal solution, and provide vast gains compared to the traditional overlay topologies that peer-to-peer applications build. 相似文献
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通过搭建基于无线Mesh网络的P2P流媒体点播测试平台,对影响无线Mesh网络中P2P流媒体性能的流媒体编解码方式、编码速率、数据转发路径的选择和跳数四个因素进行了测试。实验结果表明,采用H.264编解码标准更适合无线Mesh网络中流媒体的传输;编码速率必须不大于网络连接速率才能获得高视频质量;P2P技术可以抵抗10%的丢包对视频质量的影响,比采用非P2P技术在视频的前1 000帧视频质量平均高出3 dB;由于P2P技术带来的流间干扰的影响使得1 000帧以后视频质量下降了6 dB,严重影响了流媒体性能;无线Mesh网络的传输能力随着跳数的增加而减弱,但是流媒体质量并未随着跳数的增加而降低。 相似文献
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Video on Demand is the leading service in Internet Protocol Television environments both in popularity and in quantity of generated traffic. Peer-assisted streaming in combination with an optimal distribution of the video contents on the peers has emerged as one of the most accepted solutions by the operators, especially in the privately managed networks, which helps to alleviate the streaming servers. However, an important question in these environments is how the system parameters and the various distributions of the video contents on the peers would impact the overall system performance. In order to give answers to these questions, we propose a precise and flexible stochastic model that takes into consideration parameters like uplink and storage capacity of the peers, number of peers, size of the video content library, size of contents and content distribution scheme to estimate the benefits of the peer-assisted streaming. We use this model as a tool that helps to find the optimal values of these parameters for best performance, as well as the limits of the system for a given configuration. 相似文献
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针对流媒体传输中服务器资源和网络带宽资源的瓶颈问题,提出了局域网络中C/S、P2P自适应的流媒体区域传输模式,分析了系统实现的关键技术。测试表明自适应模式可以有效改善流媒体传输的Qos。 相似文献
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P2P流媒体网络中普遍存在一些关键节点,关键节点对网络的安全和通信性能起着重要作用,识别网络中的关键节点尤为重要,而传统方法对于大规模网络的关键节点识别时间开销很大,无法保证实时性。提出P2P流媒体网络中的关键节点识别算法,结合混合模式的网络结构特点,采用分区域的计算模型解决网络规模过大造成的巨大时间开销问题,根据节点的贡献度和传播能力差异定量化描述节点的重要性程度。仿真结果表明,所提算法可以快速获得节点重要性排序,有效识别P2P流媒体网络中的关键节点。 相似文献
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During recent years, the Internet has witnessed rapid advancement in peer-to-peer (P2P) media streaming. In these applications, an important issue has been the block scheduling problem, which deals with how each node requests the media data blocks from its neighbors. In most streaming systems, peers are likely to have heterogeneous upload/download bandwidths, leading to the fact that different peers probably perceive different streaming quality. Layered (or scalable) streaming in P2P networks has recently been proposed to address the heterogeneity of the network environment. In this paper, we propose a novel block scheduling scheme that is aimed to address the P2P layered video streaming. We define a soft priority function for each block to be requested by a node in accordance with the block’s significance for video playback. The priority function is unique in that it strikes good balance between different factors, which makes the priority of a block well represent the relative importance of the block over a wide variation of block size between different layers. The block scheduling problem is then transformed to an optimization problem that maximizes the priority sum of the delivered video blocks. We develop both centralized and distributed scheduling algorithms for the problem. Simulation of two popular scalability types has been conducted to evaluate the performance of the algorithms. The simulation results show that the proposed algorithm is effective in terms of bandwidth utilization and video quality. 相似文献
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为了满足P2P流媒体播放系统中插播广告需求,结合P2P网络的特点,提出了消耗系统内存少的无缝插播广告技术.该技术采用基于资源相关性的流媒体主动预取算法获取广告资源,应用动态共享内存池技术来存储和播放广告.该插播广告技术的应用拓展了广告发布的领域,提高了广告的影响力,增加了广告商的客户量,使P2P流媒体运营商具有更强的竞争力. 相似文献
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Dmitri Moltchanov 《Computer Science Review》2011,5(4):319-340
Relying on end users to contribute bandwidth to the system peer-to-peer (P2P) overlays provide a cheap and scalable way to distribute live video content in the Internet. However, being inherently dynamic due to peers joining and leaving the system at arbitrary time and running over the best-effort Internet, successful commercial usage of these systems may suffer from unstable media quality provided to end users. In this survey, we consider problems related to providing quality of media delivery in P2P streaming systems. We show that in spite of numerous systems available today no one incorporates mechanisms capable to maintain a certain level of quality of delivered media. We identify reasons behind that and discuss possible solutions to this problem. 相似文献
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PatchPeer: A scalable video-on-demand streaming system in hybrid wireless mobile peer-to-peer networks 总被引:2,自引:0,他引:2
Tai T. Do Kien A. Hua Ning Jiang Fuyu Liu 《Peer-to-Peer Networking and Applications》2009,2(3):182-201
Video-on-demand service in wireless networks is one important step to achieving the goal of providing video services anywhere
anytime. Typically, carrier mobile networks are used to deliver videos wirelessly. Since every video stream comes from the
base station, regardless of what bandwidth sharing techniques are being utilized, the media stream system is still limited
by the network capacity of the base station. The key to overcome the scalability issue is to exploit resources available at
mobile clients in a peer-to-peer setting. We observe that it is common to have a carrier mobile network and a mobile peer-to-peer
network co-exist in a wireless environment. A feature of such hybrid environment is that the former offers high availability
assurance, while the latter presents an opportunistic use of resources available at mobile clients. Our proposed video-on-demand
technique, PatchPeer, leverages this network characteristic to allow the video-on-demand system scale beyond the bandwidth
capacity of the server. Mobile clients in PatchPeer are no longer passive receivers, but also active senders of video streams
to other mobile clients. Our extensive performance study shows that PatchPeer can accept more clients than the current state-of-the-art
technique, while maintaining the same Quality-of-Service to clients.
Tai T. Do is a Ph.D. student in Computer Science at the University of Central Florida, working in the Data Systems Laboratory. He received a B.S. degree in Electrical Engineering from the University of Oklahoma in 2001. His main research interests are Distributed Systems and Databases (Peer-to-Peer Systems, Distributed Monitoring Queries), Communications and Networking (Video Delivery Techniques, Wireless Communication Protocols), Decision Support Systems (Real-time Route Diversion Systems), and Security and Privacy (Anonymity for Location-based Services). Tai T. Do is a recipient of the UCF Order of Pegasus, i.e. UCF Best Student Award, class of 2008. Kien A. Hua received the B.S. degree in Computer Science, M.S. and Ph.D. degrees in Electrical Engineering, all from the University of Illinois at Urbana-Champaign, in 1982, 1984, and 1987, respectively. Form 1987 to 1990 he was with IBM Corporation. He joined the University of Central Florida in 1990, and is currently a professor in the School of Computer Science. Dr. Hua has published widely including several papers recognized as best papers at various international conferences. He has served as Conference Chair, Vice-Chair, Associate Chair, Demo Chair, and Program Committee Member for numerous ACM and IEEE conferences. Currently, he is on the editorial boards of Journal of Multimedia Tools and Applications and International Journal of Advanced Information Technology. Dr. Hua is an IEEE Fellow. Ning Jiang received the Ph.D. degree in Computer Science from the University of Central Florida. Currently, he is working at the Office Lab at Microsoft Corp. His main research interests are Mobile computing, Data mining, and Network security. Fuyu Liu is a Ph.D. student in Computer Science at the University of Central Florida, working in the Data Systems Laboratory. His main research interests are Distributed Systems and Databases (Distributed Monitoring Queries, Mobile COmputing), and Security and Privacy (Anonymity for Location-based Services). 相似文献
Fuyu LiuEmail: |
Tai T. Do is a Ph.D. student in Computer Science at the University of Central Florida, working in the Data Systems Laboratory. He received a B.S. degree in Electrical Engineering from the University of Oklahoma in 2001. His main research interests are Distributed Systems and Databases (Peer-to-Peer Systems, Distributed Monitoring Queries), Communications and Networking (Video Delivery Techniques, Wireless Communication Protocols), Decision Support Systems (Real-time Route Diversion Systems), and Security and Privacy (Anonymity for Location-based Services). Tai T. Do is a recipient of the UCF Order of Pegasus, i.e. UCF Best Student Award, class of 2008. Kien A. Hua received the B.S. degree in Computer Science, M.S. and Ph.D. degrees in Electrical Engineering, all from the University of Illinois at Urbana-Champaign, in 1982, 1984, and 1987, respectively. Form 1987 to 1990 he was with IBM Corporation. He joined the University of Central Florida in 1990, and is currently a professor in the School of Computer Science. Dr. Hua has published widely including several papers recognized as best papers at various international conferences. He has served as Conference Chair, Vice-Chair, Associate Chair, Demo Chair, and Program Committee Member for numerous ACM and IEEE conferences. Currently, he is on the editorial boards of Journal of Multimedia Tools and Applications and International Journal of Advanced Information Technology. Dr. Hua is an IEEE Fellow. Ning Jiang received the Ph.D. degree in Computer Science from the University of Central Florida. Currently, he is working at the Office Lab at Microsoft Corp. His main research interests are Mobile computing, Data mining, and Network security. Fuyu Liu is a Ph.D. student in Computer Science at the University of Central Florida, working in the Data Systems Laboratory. His main research interests are Distributed Systems and Databases (Distributed Monitoring Queries, Mobile COmputing), and Security and Privacy (Anonymity for Location-based Services). 相似文献
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Channel allocation in multi-channel wireless mesh networks 总被引:1,自引:0,他引:1
Yong Ding Li Xiao 《Computer Communications》2011,34(7):803-815
In this article, we survey the latest progress in multi-channel wireless mesh networks, focusing on wireless interference models and channel allocation algorithms with the goal of maximizing the network performance. We present the studies of different interference models and illustrate how they could affect the design of channel assignment. We also summarize channel allocation algorithms with different strategies in both omni-directional and directional antenna networks. We conclude that both static and dynamic channel allocation strategies have advantages and disadvantages, and the design of channel allocation algorithms strongly depends on the interference model and the assumption of network traffic. 相似文献
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传统的流媒体系统建立在客户-服务器模式的基础上,系统伸缩性差,服务器常成为系统的瓶颈.根据当前流媒体播放系统存在的问题,设计了基于对等网络模式的流媒体直播系统,其中每个节点既是服务的消费者同时又是提供者,克服了当前流媒体系统的服务器瓶颈问题。 相似文献
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无线Mesh网是一种新型的无线组网技术,现有的无线移动管理协议还不能在这一网络结构上直接适用.在典型无线mesh网络分层结构模型上,对现有的几种无线网络移动管理协议进行了比较,并且针对无线mesh网的结构特点提出了一种大型无线mesh网络下的移动性管理方案,采用了基于P2P的分层结构实现网络移动定位信息的自动注册、自动管理和快速查询,同时网络具有较好的负载均衡和抗毁性能.仿真结果表明,与传统的分层移动管理协议相比,该方案可以得到更优化的移动路由. 相似文献
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乔志会 《电脑编程技巧与维护》2008,(17):109-111
随着计算机网络技术和数字技术的迅速发展,网络教育已经进入了数字化、智能化、个性化的发展阶段。本文致力于研究网络学习系统中的基于P2P流媒体技术的视频教学资源系统平台的构架,为学习者提供一个"以学习者为中心"的网络化学习环境。 相似文献
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基于PeerCast的P2P流媒体多点播放缓存管理设计 总被引:2,自引:0,他引:2
随着网络流媒体的广泛应用,P2P流媒体技术作为C/S结构的有力补充越来越引起人们的重视。而现有P2P单点播放系统并没有充分发挥出P2P网络的优势。在研究开源P2P流媒体软件PeerCast的基础上,提出了P2P流媒体多点播放的设计方案,针对如何在多源环境下进行准确有效的缓冲区管理给出了算法实现,并实验证明其稳定性和高效性。 相似文献
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卢花 《电脑与微电子技术》2013,(23):12-15
将网络编码引入P2P应用系统是当前的研究热点之一。着重介绍基于网络编码的P2P应用系统在国内外的主要研究进展,包括基于网络编码的P2P文件下载系统、基于网络编码的P2P流媒体直播系统和基于网络编码的P2P流媒体点播系统三个方面,并对该方向的研究趋势进行展望。 相似文献