基于节点粘度的混合组网架构及性能优化算法研究
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摘要
随着公司信息化水平不断提升,一些新的工作模式正在逐渐形成,如视频业务会议、信息配送以及远程教学等,大大提升了工作效率。此外,伴随3G、4G移动通信技术的不断成熟与逐步部署以及音视频编码技术的发展,使很多灵活的业务成为可能,应用诸如移动视频电话、视频音频直播、点播及移动视频监控等。上述业务对海量实时流媒体数据传输产生了广泛的需求。
对于大型企业(员工超过万人),其实时流媒体应用不同与传统企业或互联网流媒体应用,具有自己的特点,主要是海量用户的在线接入和实时交互需求同时存在,但在线用户相对稳定,频繁上下线情况较少。另外,通信网络的性能及拓扑的感知性较好,可以更好的支撑流媒体传输。因此,根据大型企业实时流媒体应用的特点,研究实时流媒体传输及调度具有重要意义。
国家电网公司拥有员工150万,国家电网公司注册的内网桌面终端60万,外网桌面终端20万,如果同时有超过数万、数十万的员工访问视频服务,面对海量用户的在线接入和实时交互需求,传统的流媒体传输系统面临巨大挑战。海量流媒体数据传输对电力通信网带来巨大冲击,当前的基础设施根本无法满足海量流媒体数据传输的需求,传输的实时性更加难以保证。这使各种实时流媒体传输业务的发展越到瓶颈,在此背景下,以视频会议直播为对象,研究大型企业海量实时流媒体数据的传输调度模式显得异常重要。
将传统流媒体传输技术在应用于电力通信网时,存在很多问题：(1)目前存在多种传输技术,它们的特点和资源分配成本大不相同,因此选择何种技术需要深入研究。在应对大规模数据传输时,如果采用C/S模式,服务器承载能力受限,网络带宽存在瓶颈；而CDN技术可以解决带宽问题,但是服务器成本昂贵,维护代价较大；P2P技术虽然可以解决服务器负载问题,但是网络瓶颈没有解决,它会带来巨大的网络传输流量,尤其是带来了大量的跨网域的冗余流量,浪费宝贵的骨干网和网问互联带宽。因此,如何综合利用这些技术,扬长避短,是需要研究的问题。(2)长期以来在传统互联网中视频应用中,视频体验差是一个关键问题,视频启动延迟较大影响着用户的感受,阻碍了流媒体应用的发展。因此,如何降低视频启动延迟,提升系统服务质量(QoS)和用户体验(QoE)已是亟待解决的问题。(3)在电网系统中,终端的网络环境差异很大,有线、无线节点异构节点同时存在,异构节点对视频的数据传播方式带来了挑战,一方面移动终端是否能够满足电力业务需要进行进一步进行实际验证；另外,异构节点对视频质量的要求不一样,带宽性能不一样,视频数据传输调度如何满足不同接入终端的需要,是一个亟待解决的问题。
论文基于复杂网络理论、数据分发、视频编解码等术对电力海量数据实时调度及传输进行研究,以电力视频会议直播为突破口,对实时流媒体数据分发的关键性能,包括视频质量、启动及传输延时、跨网流量、负载均衡等进行多目标优化。论文采用两层优化方法,一是对覆盖网拓扑进行优化；二是对数据传输与调度算法进行优化。
论文首先对各种数据分发技术进行了全面的分析评价,构建了一种适合电力海量实时流媒体数据分发混合传输架构；对移动终端的接入能力进行验证,论证其应用于电力视频业务的可行性。基于复杂网络理论,搭建了一种基于节点粘度对等网拓扑模型(P2P-NMNV).并针对该模型拓扑度量指标进行了全面分析,结论表明该网络的节点度符合幂率分布,有较短的特征路径和较高的聚集系数,适合实时流媒体数据分发的,有利于降低传输延时,提高用户体验。结合P2P-NMNV模型,在电力系统首次引入P2P-CDN网络模式,并提出了一种基于自治域的混合组网架构HPCS。HPCS综合利用了P2P、CDN和分自治域传输的优点。通过采用分域传输的方式,有效降低骨干网流量,降低传输延时；采用P2P与CDN技术相结合混合组网模式,可以有效提高视频服务质量,提高网络承载能力；采用P2P核心节点与CDN网关互用的模式,大幅的降低设备部署成本。基于熵权分析法,提出了核心节点选举算法,优化了网络传输性能；采用CDN节点单域多核心的模式,核心节点互为备份,提高了网络的鲁棒性,提升了数据传输的效率；为了提高系统容错能力,在核心节点出现故障的情况下,通过采用跨网域连接的方式,提高系统鲁棒性,并得到了跨网流量的最佳配置比例。基于HPCS混合组网架构,构建一种适合于固网和移动混合环境下的视频直播调度模型,并基于熵权层次分析法提出了一种多目标数据调度算法。实验结果表明该算法可以在网络异构的情况下,实现了局部最优的数据调度,在P2P流媒体低延时播放、高视频质量和负载均衡之间达到一个局部最优的配置。
综上所述,论文基于复杂网络理论、数据传输技术,在电力海量实时数据传输方面进行了创新,以视频会议直播为突破口,提出了传输模型和数据调度算法,并取得了丰硕的成果,有效解决实时视频数据传输存在的传输瓶颈,并获得了良好的用户体验。本成果适用于各种实时、非实时的海量数据传输应用,在电力系统和互联网领域具有广阔的应用空间。
With the development of information technology, the new work mode is gradually formed, such as video meeting, information distribution, and distance education, which greatly enhances the work efficiency. At the same time,with the3G and4G mobile communications technology continues to mature and deployment, as well as the development of audio and video encoding technology, the flexible business applications becomes possible, such as mobile video telephony, video on demand and mobile video surveillance. All of the above needs the transmission of high volume real-time streaming media data.
For the large enterprises (more than1million employee), the streaming media application is different with traditional enterprise or internet streaming applications, has its own characteristics, that is massive online access and real-time user interaction needs exist, the online users is stable, the case of online and offline frequently is less. Further, the communication performance and perceptibility of the network is good, can better support streaming media transmission. Considering the characteristics of large enterprise real-time streaming media application, the research of real-time streaming media transmission scheduling is important.
The staff of SGCC is more than1500000, the intranet desktop terminal is600000.and the internet desktop terminal is200000. If more than tens of thousands, hundreds of thousands of employees access video service, there will be massive online access needs and real-time interactive demand, the traditional streaming media transmission system faces great challenge. The massive data transmission of streaming media has brought great impact to the electric power communication network.The current infrastructure can't meet the demand on real-time transmission of high volume streaming data. In SGCC, the live video conferencing system is limited by the capacity of the communication network bandwidth and server. The high volume real-time streaming media transmission becomes bottleneck. So the study of high volume real-time streaming media data transmission is extremely important.
There are many problems, when the traditional technology of data transmission used in electric power communication network:(1) There are a variety of transmission technologies, with different characteristics and costs, therefore the choice of distribution technologies should be studied. Deal with large-scale data distribution, using C/S mode, the server load capacity is limited by bottlenecks in network bandwidth; the CDN technology can solve the bandwidth problem, but the server is expensive and larger maintenance cost; P2P technology can solve the server load, but can't solve the network bottlenecks, it will bring huge network traffic flows, in particular, brought a lot of cross-domain redundant traffic, wasting valuable bandwidth of the backbone network and interconnection network. Therefore, how to use these technologies needs to study.(2) For a long time, in the traditional internet video applications, the poor video experience is a key issue, the long startup delay impact on the user's feelings, and affect the development of streaming media applications. Therefore, how to reduce startup delays, improve system quality of service (QoS) and quality of experience (QoE) is to be solved.(3) In SGCC, the terminal environment is different, wired and wireless node heterogeneous nodes exist. The heterogeneous node makes challenges on the transmission of the video data. Wheather the mobile terminal is able to meet the requirement of power business or not, needs to be verified. The video quality and the bandwidth requirement of heterogeneous node is different. How the data transmission scheduling meets the needs of different terminal, is an urgent problem to be solved.
Based on the theory of complex networks, data transmission and video codec technology, taking power video conference as the breakthrough point, real-time scheduling and transmission of electricity high volume data is studied, aimed to multi-objective optimize the performance of the high volume real time data, including video quality, startup delay, inter-network traffic, load balancing. In this paper, a two-layer optimization method is used, which optimizes the overlay topology firstly and optimize data transmission scheduling algorithm secondly.
Firstly, this paper gives a comprehensive analysis and evaluation on a variety of data distribution technology and presents a suitable hybrid transmission architecture for the high volume real-time data distribution. The access capability of the mobile terminal is verified and the feasibility is argued when applied to power video business. Based on the theory of complex networks, this paper presents a peer-to-peer netwok mode based on node viscosity (P2P-NMNV). and analysis the topological metrics for the model, the conclusion show that degree of node in the network is in line with a power-law distribution, short characteristic path and high clustering coefficient, suitable for the power of high volume real-time data distribution, reducing transmission delay and improve user experience.
Based on the P2P-NMNV model, a hybrid network architecture based on autonomous domain HPCS (Hybrid P2P and CDN Structure) is present, with comprehensive utilization of the advantages of P2P, CDN and sub-autonomous domain transfer. This is the first time for using P2P-CDN network model in the power system. For Reducing backbone traffic and delay by transmission in different area effectively; the hybrid network mode, combined P2P and CDN technology, can effectively improve the video quality of service, and improve network carrying capacity; with the P2P core nodes CDN network exchangeable mode significantly reduce the equipment deployment costs. Using the analysis method based on entropy weight, present core node election algorithm to optimize the network transmission performance; With single domain multi-core CDN node, the core nodes connected with each other, it can improve the robustness of the network and enhance the efficiency of data transmission; To improve the system fault tolerance in case of failure of the core node, the cross-domain connections can be used, which can improve the system robustness, and get the inter-network traffic allocation ratio. Depend on the live streaming data scheduling model based the HPCS framework, a scheduling model is present, which is suitable for a mixed broadcast environment of fixed and mobile video. A multi-target data scheduling algorithm based on entropy weight analysis method is proposed. The simulation results show that the algorithm can achieve the local optimal data scheduling algorithm, which can get a local optimum configuration between low-latency playback, high video quality and load balancing.
In summary, based on the complex network theory, Data transmission technology, taking the video conference as the breakthrough point, an innovation is proposed in the power high volume real-time data transmission model and data scheduling algorithms, which achieves fruitful results, effective solution to a real-time video data transmission, and a good user experience. The achievement is suitable to the real-time, non-real-time mass data transmission applications in power systems and the internet.
对于大型企业(员工超过万人),其实时流媒体应用不同与传统企业或互联网流媒体应用,具有自己的特点,主要是海量用户的在线接入和实时交互需求同时存在,但在线用户相对稳定,频繁上下线情况较少。另外,通信网络的性能及拓扑的感知性较好,可以更好的支撑流媒体传输。因此,根据大型企业实时流媒体应用的特点,研究实时流媒体传输及调度具有重要意义。
国家电网公司拥有员工150万,国家电网公司注册的内网桌面终端60万,外网桌面终端20万,如果同时有超过数万、数十万的员工访问视频服务,面对海量用户的在线接入和实时交互需求,传统的流媒体传输系统面临巨大挑战。海量流媒体数据传输对电力通信网带来巨大冲击,当前的基础设施根本无法满足海量流媒体数据传输的需求,传输的实时性更加难以保证。这使各种实时流媒体传输业务的发展越到瓶颈,在此背景下,以视频会议直播为对象,研究大型企业海量实时流媒体数据的传输调度模式显得异常重要。
将传统流媒体传输技术在应用于电力通信网时,存在很多问题：(1)目前存在多种传输技术,它们的特点和资源分配成本大不相同,因此选择何种技术需要深入研究。在应对大规模数据传输时,如果采用C/S模式,服务器承载能力受限,网络带宽存在瓶颈；而CDN技术可以解决带宽问题,但是服务器成本昂贵,维护代价较大；P2P技术虽然可以解决服务器负载问题,但是网络瓶颈没有解决,它会带来巨大的网络传输流量,尤其是带来了大量的跨网域的冗余流量,浪费宝贵的骨干网和网问互联带宽。因此,如何综合利用这些技术,扬长避短,是需要研究的问题。(2)长期以来在传统互联网中视频应用中,视频体验差是一个关键问题,视频启动延迟较大影响着用户的感受,阻碍了流媒体应用的发展。因此,如何降低视频启动延迟,提升系统服务质量(QoS)和用户体验(QoE)已是亟待解决的问题。(3)在电网系统中,终端的网络环境差异很大,有线、无线节点异构节点同时存在,异构节点对视频的数据传播方式带来了挑战,一方面移动终端是否能够满足电力业务需要进行进一步进行实际验证；另外,异构节点对视频质量的要求不一样,带宽性能不一样,视频数据传输调度如何满足不同接入终端的需要,是一个亟待解决的问题。
论文基于复杂网络理论、数据分发、视频编解码等术对电力海量数据实时调度及传输进行研究,以电力视频会议直播为突破口,对实时流媒体数据分发的关键性能,包括视频质量、启动及传输延时、跨网流量、负载均衡等进行多目标优化。论文采用两层优化方法,一是对覆盖网拓扑进行优化；二是对数据传输与调度算法进行优化。
论文首先对各种数据分发技术进行了全面的分析评价,构建了一种适合电力海量实时流媒体数据分发混合传输架构；对移动终端的接入能力进行验证,论证其应用于电力视频业务的可行性。基于复杂网络理论,搭建了一种基于节点粘度对等网拓扑模型(P2P-NMNV).并针对该模型拓扑度量指标进行了全面分析,结论表明该网络的节点度符合幂率分布,有较短的特征路径和较高的聚集系数,适合实时流媒体数据分发的,有利于降低传输延时,提高用户体验。结合P2P-NMNV模型,在电力系统首次引入P2P-CDN网络模式,并提出了一种基于自治域的混合组网架构HPCS。HPCS综合利用了P2P、CDN和分自治域传输的优点。通过采用分域传输的方式,有效降低骨干网流量,降低传输延时；采用P2P与CDN技术相结合混合组网模式,可以有效提高视频服务质量,提高网络承载能力；采用P2P核心节点与CDN网关互用的模式,大幅的降低设备部署成本。基于熵权分析法,提出了核心节点选举算法,优化了网络传输性能；采用CDN节点单域多核心的模式,核心节点互为备份,提高了网络的鲁棒性,提升了数据传输的效率；为了提高系统容错能力,在核心节点出现故障的情况下,通过采用跨网域连接的方式,提高系统鲁棒性,并得到了跨网流量的最佳配置比例。基于HPCS混合组网架构,构建一种适合于固网和移动混合环境下的视频直播调度模型,并基于熵权层次分析法提出了一种多目标数据调度算法。实验结果表明该算法可以在网络异构的情况下,实现了局部最优的数据调度,在P2P流媒体低延时播放、高视频质量和负载均衡之间达到一个局部最优的配置。
综上所述,论文基于复杂网络理论、数据传输技术,在电力海量实时数据传输方面进行了创新,以视频会议直播为突破口,提出了传输模型和数据调度算法,并取得了丰硕的成果,有效解决实时视频数据传输存在的传输瓶颈,并获得了良好的用户体验。本成果适用于各种实时、非实时的海量数据传输应用,在电力系统和互联网领域具有广阔的应用空间。
With the development of information technology, the new work mode is gradually formed, such as video meeting, information distribution, and distance education, which greatly enhances the work efficiency. At the same time,with the3G and4G mobile communications technology continues to mature and deployment, as well as the development of audio and video encoding technology, the flexible business applications becomes possible, such as mobile video telephony, video on demand and mobile video surveillance. All of the above needs the transmission of high volume real-time streaming media data.
For the large enterprises (more than1million employee), the streaming media application is different with traditional enterprise or internet streaming applications, has its own characteristics, that is massive online access and real-time user interaction needs exist, the online users is stable, the case of online and offline frequently is less. Further, the communication performance and perceptibility of the network is good, can better support streaming media transmission. Considering the characteristics of large enterprise real-time streaming media application, the research of real-time streaming media transmission scheduling is important.
The staff of SGCC is more than1500000, the intranet desktop terminal is600000.and the internet desktop terminal is200000. If more than tens of thousands, hundreds of thousands of employees access video service, there will be massive online access needs and real-time interactive demand, the traditional streaming media transmission system faces great challenge. The massive data transmission of streaming media has brought great impact to the electric power communication network.The current infrastructure can't meet the demand on real-time transmission of high volume streaming data. In SGCC, the live video conferencing system is limited by the capacity of the communication network bandwidth and server. The high volume real-time streaming media transmission becomes bottleneck. So the study of high volume real-time streaming media data transmission is extremely important.
There are many problems, when the traditional technology of data transmission used in electric power communication network:(1) There are a variety of transmission technologies, with different characteristics and costs, therefore the choice of distribution technologies should be studied. Deal with large-scale data distribution, using C/S mode, the server load capacity is limited by bottlenecks in network bandwidth; the CDN technology can solve the bandwidth problem, but the server is expensive and larger maintenance cost; P2P technology can solve the server load, but can't solve the network bottlenecks, it will bring huge network traffic flows, in particular, brought a lot of cross-domain redundant traffic, wasting valuable bandwidth of the backbone network and interconnection network. Therefore, how to use these technologies needs to study.(2) For a long time, in the traditional internet video applications, the poor video experience is a key issue, the long startup delay impact on the user's feelings, and affect the development of streaming media applications. Therefore, how to reduce startup delays, improve system quality of service (QoS) and quality of experience (QoE) is to be solved.(3) In SGCC, the terminal environment is different, wired and wireless node heterogeneous nodes exist. The heterogeneous node makes challenges on the transmission of the video data. Wheather the mobile terminal is able to meet the requirement of power business or not, needs to be verified. The video quality and the bandwidth requirement of heterogeneous node is different. How the data transmission scheduling meets the needs of different terminal, is an urgent problem to be solved.
Based on the theory of complex networks, data transmission and video codec technology, taking power video conference as the breakthrough point, real-time scheduling and transmission of electricity high volume data is studied, aimed to multi-objective optimize the performance of the high volume real time data, including video quality, startup delay, inter-network traffic, load balancing. In this paper, a two-layer optimization method is used, which optimizes the overlay topology firstly and optimize data transmission scheduling algorithm secondly.
Firstly, this paper gives a comprehensive analysis and evaluation on a variety of data distribution technology and presents a suitable hybrid transmission architecture for the high volume real-time data distribution. The access capability of the mobile terminal is verified and the feasibility is argued when applied to power video business. Based on the theory of complex networks, this paper presents a peer-to-peer netwok mode based on node viscosity (P2P-NMNV). and analysis the topological metrics for the model, the conclusion show that degree of node in the network is in line with a power-law distribution, short characteristic path and high clustering coefficient, suitable for the power of high volume real-time data distribution, reducing transmission delay and improve user experience.
Based on the P2P-NMNV model, a hybrid network architecture based on autonomous domain HPCS (Hybrid P2P and CDN Structure) is present, with comprehensive utilization of the advantages of P2P, CDN and sub-autonomous domain transfer. This is the first time for using P2P-CDN network model in the power system. For Reducing backbone traffic and delay by transmission in different area effectively; the hybrid network mode, combined P2P and CDN technology, can effectively improve the video quality of service, and improve network carrying capacity; with the P2P core nodes CDN network exchangeable mode significantly reduce the equipment deployment costs. Using the analysis method based on entropy weight, present core node election algorithm to optimize the network transmission performance; With single domain multi-core CDN node, the core nodes connected with each other, it can improve the robustness of the network and enhance the efficiency of data transmission; To improve the system fault tolerance in case of failure of the core node, the cross-domain connections can be used, which can improve the system robustness, and get the inter-network traffic allocation ratio. Depend on the live streaming data scheduling model based the HPCS framework, a scheduling model is present, which is suitable for a mixed broadcast environment of fixed and mobile video. A multi-target data scheduling algorithm based on entropy weight analysis method is proposed. The simulation results show that the algorithm can achieve the local optimal data scheduling algorithm, which can get a local optimum configuration between low-latency playback, high video quality and load balancing.
In summary, based on the complex network theory, Data transmission technology, taking the video conference as the breakthrough point, an innovation is proposed in the power high volume real-time data transmission model and data scheduling algorithms, which achieves fruitful results, effective solution to a real-time video data transmission, and a good user experience. The achievement is suitable to the real-time, non-real-time mass data transmission applications in power systems and the internet.
引文
[1]电力大数据,http://baike.baidu.com/view/9867655.htm.
[2]江小帆,李翔,陈关荣.复杂网络理论及其应用.清华大学出版社：北京,2006.
[3]方锦清,汪小帆,郑志刚等.一门崭新的交叉科学：网络科学(上)[J].物理学进展,2007,27(3)：239-343.
[4]方锦清,汪小帆,郑志刚等.一门崭新的交叉科学：网络科学(下)[J].物理学进展,2007,27(4)：361-448.
[5]吴俊.复杂网络拓扑结构抗毁性研究[DJ.长沙：国防科技大学博士学位论文,2008.
[6]方锦青.令人关注的复杂性科学和复杂性研究[J].自然杂志,2002,24(1),7-15.
[7]刘建国.复杂网络模型构建及其在知识系统中的应用.大连：大连理工大学,2006.
[8]何大韧,刘宗华,汪秉宏.复杂系统与复杂网络[M].北京,高等教育出版社,2009.
[9]Ziyan Zhao, Jianming liu, Ruirui Zhang. Research of Safety and Risk Assessment Technology for Power System Communication Services. PowerCon2010.
[10]Zhao ziyan, Xiong Suqin, Zhou Jing. Backbone Network Bandwidth Prediction and Plan Technology Research Based on Smart Grid Telecommunication Services Analysis. PowerCon 2010,hangzhou,China.
[11]刘建明,赵峰等.光传送技术在电力系统中的应用研究,电力系统通信,2009(8),ppl-5.
[12]刘建明,赵峰等.ICT网络模式的关键技术与发展,电力系统通信,2009(4),pp1-5.
[13]赵峰,陶小峰等.ICT网络的移动视频会议系统测试模型,经济发展方式转变与自主创新—第十二届中国科学技术协会年会(第四卷),2010(11)
[14]Yan C,Zhou T, Hu B, et al. Efficient routing on complex networks[J], Physical Review E,2006,73(4):108-112.
[15]Watts D.J.and Strogatz S.H., Collective dynamics of small-world networks, Nature393,1998, pp.440-442.
[16]Barabasi A. L., Albert R. Emergence of scaling in random networks. Science, vol.286, pp.509-512,1999.
[17]Jeong H., Tombor B., Albert R., et al. The large-scale organization of metabolic networks.Nature.vol.407, pp.651-654,2000.
[18]Jeong H., Mason S., Barabasi A.-L., et al. Lethality and centrality in protein networks.Nature.vol.411, pp.41-42,2001.
[19]P. Helm, M. Technology,Mita, T. Bourouina, C Reyne, and H. Fujita. micromachining of process for Lightwave Self-aligned large-scale, free-space optical cross-connects, Journal 2000.18(12):1785-1791.
[20]White J. G., Southgate E., Thompson J. N., et al. The structure of the nervous system of thenematode C. Elegans. Phil. Traps. R. Soc. London, vol.314, pp.1-340,1986.
[21]E. Massad, S. Ma, M. Chen, C. J. Struchiner, N. Stollenwerk, and M. Aguiar. Scale-free network of a dengue epidemic, Applied Mathematics and Computation,2008.195(2):376-381.
[22]D. Volchenkov, L. Volchenkova,P. Blanchard. Epidemic spreading in a variety of scale free networks, Physical Review Estatistical, Nonlinear, and Soft Matter Physics,2002.66(4): 046137.
[23]R. Pastor-Satorras,A. Vespignani. Epidemic spreading in scale-free networks, Physical Review Letters,2001.86(14):3200-3203.
[24]Ebel H., Mielsch L.-I, Bornholdt S. Scale-free topology of e-mail networks. Phys. Rev. E, vol.66,035103,2002.
[25]Newman M. E. J., Forrest S., Balthrop J. Email networks and the spread of computer viruses. PhysRev. E, vol.66,035101,2002.
[26]吴建军.城市交通网络拓扑结构复杂性研究[D].北京,北方交通大学,2008.
[27]王波.基于派系的复杂网络及其在公交网络上的应用研究[D].浙江：浙江工业大学,2009.
[28]马杰良,王俊超,郑伟才.加权演化的交通网络模型研究[J].南京信息工程大学学报,自然科学版,2010,2(1),31-34.
[29]马嘉琪,白雁,韩宝明.城市轨道交通线基本单元与复杂网络性能分析[J].交通运输工程学报,2010,10(4)：65-70.
[30]王安斯.基于事故链的电网脆弱性评估与稳定控制[D].华北：华中科技大学,2010.
[31]Latora, V.and Marchiori, M., Is the Boston subway a small-world network physical A214,2002,109-113.
[32]王光增.基于复杂网络理论的复杂电力网络建模[D].浙江：浙江大学,2009.
[33]Surdutovich.G, Gortez.CVR.Dynamics of "small world" networks and vulnerability of the electric power grid. Proceedings of the VIII Symposium of Specialists in Electric Operational and Expansion Planning, Brazil 2002.
[34]Chen Q., Chang H., Govindan R., et al. The origin of power laws in Internet topologies revisited. In Proceedings of the 21St Annual Joint Conference of the IEEE Computer and Communications Societies,2002.
[35]Li L, Alderson D, Doyle J, et al. Towards a theory of scale-free graphs: Definition,properties and implications[J], Internet Mathematics,2005,2(4):431-523.
[36]Faloutsos M., Faloutsos P., Faloutsos, C. On power-law relationships of the Internet topology.Computer Communications Review, vol.29, pp.251-262,1999.
[37]Albert R., Jeong H., Barabasi A.-L. Diameter of the world-wide web. Nature, vol.401, pp.130-131,1999.
[38]Barabasi A.-L., Albert R., Jeong H. Scale-free characteristics of random networks:The topology of the World Wide Web. Physica A, vol.281, pp.69-77,2000.
[39]Burda Z., Comeia J. D., Krzywicki A. Statistical ensemble of scale-free random graphs. Phys. Rev.E, vol.64,046118,2001.
[40]Watts D. J. The new 'science' of networks. Annual Review Sociology, vol.30, pp. 243-270,2004.
[1]汪小帆,李翔,陈关荣.复杂网络理论及其应用[M].北京：清华大学出版社,2006：10.
[2]复杂网络,http://baike.baidu.com/view/1195034.htm
[3]吴君青,陈卫卫,胡谷雨,物理网络拓扑发现算法的研究与改进,北京邮电大学学报,2003
[4]郑海,张国清,物理网络拓扑发现算法的研究,计算机研究与发展,2002
[5]Barabasi Albert-Laszlo, Albert Reka. Statistical mechanics of complex network [J]. Review of Modern Physics,2002,74 (1):47-97.
[6]Erdos P.A Renyi. On the evolution of random graphs [J]. Publications of the Mathematical Institute of the Hungarian Academy of Sciences,1960,5:17-61.
[7]D J Watts, The New Science of Networks,Annual Review of Sociology,2004, 30:243-270
[8]D J Watts,S H Strogatz, Collective Dynamics of'Small World' Networks, Nature,1998, 393(6684):440-442
[9]R.Albert and A-L.Barabasi. Rev.Mod Phys,74(2002)47.
[10]A-L.Barabasi and R.Albert. Science,286(1999)509.
[11]JANNOTTI J, GIFFORD D K, JOHNSON K L, et al. Overcast:Reliable multicasting with an overlay network [J]. Usenix Association Proceedings of the Fourth Symposium on Operating Systems Design and Implementation,2000,197-212.
[12]CHU Y H, RAO SG, SESHAN S, et al. A case for end system multicast [J]. IEEE J Sel Area Comm,2002,20(8):1456-71.
[13]http://www.peercast. Org
[14]L.Jianjun Zhang, Lakshmish Ramaswamy, Calton Pu "PeerCast: Churn-resilient end system multicast on heterogeneous overlay networks," J.Network and ComputerApplications vol.312008
[15]J. Liebeherr, "HyperCast:A Protocol for Maintaining Multicast Group Members in a Logical Hypercube Topology," Lecture Notes in Computer Science, vol.1736, pp.72-89,2004
[16]N. P Venkata, J. W. Helen, A. C. Philip, and S. Kunwadee, "Distributing streaming media content using cooperative networking," in Proceedings of the 12th international workshop on Network and operating systems support fordigital audio and video Miami, Florida, USA:ACM, 2002.
[17]M.B.H Deshpande, H Garcia-Molina, "streaming live media over a peer-to-peer network," in Technical Report. Stanford InfoLab.,2001.
[18]V N. Padmanabhan, H. J. Wang, and P. A. Chou, "Resilient peer-to-peer streaming," in Network Protocols,2003. Proceedings.11th IEEE International Conference on,2003, pp.16-27.
[19]Castro M, Druschel P, Kermarrec A M, et al. SplitStream:high-bandwidth multicastin cooperative environments. Proceedings of Symposium on Operating Systems Principles(SOSP) 2003, New York, USA,2003
[20]MAGHAREI N, REJAIE R. PRIME:peer-to-peer receiver-driven mesh-based streaming [J]. IEEE/ACM Trans Netw,2009,17(4):1052-65.
[21]PAI V, KUMAR K, TAMILMANI K, et al. Chainsaw:Eliminating trees from overlay multicast [J]. Peer-to-Peer Systems Iv,2005,3640:127-40.
[22]ZHANG M, ZHAO L, TANG Y et al. Large-scale live media streaming over peer-to-peer networks through global Internet [M]. Proceedings of the ACM workshop on Advances in peer-to-peer multimedia streaming. Hilton, Singapore, ACM.2005:21-8.
[23]MAGHAREI N, REJAIE R, GUO Y Mesh or multiple-tree:A comparative study of live P2P streaming approaches [J]. Infocom 2007, Vols 1-5.2007,1424-32.
[24]彭凯,武娟,杨宗凯,唐宏,”基于P2P的流媒体直播技术研究与展望,”计算机科学,vol.36,pp.10-15,2009.
[25]Z. Xinyan, L. Jiangchuan, L. Bo, and Y S. P. Yum, "CoolStreaming/DONet:a data-driven overlay network for peer-to-peer live media streaming," in INFOCOM 2005.24th Annual Joint Conference of the IEEE Computer and Communications Societies. Proceedings IEEE,2005, pp.2102-2111 vol.3.
[26]K. K. Vinay S. Pai, Karthik Tamilmani, Vinay Sambamurthy, Alexander E. Mohr,"Chainsaw:Eliminating Trees from Overlay Multicast," in 4th International Workshop, IPTPS, Ithaca, NY, USA, February 24-25,2005, pp.127-140.
[27]王守彦.基于P2P网络的流媒体直播系统的设计与实现.[硕士学位论文].大连理工大学.2007.
[28]叶枫张思发.基于Gossip协议的P2P流媒体直播系统的研究,计算机与数字工程,2009
[29]F. Wang, Y. Q. Xiong and J. C. Liu, "mTreebone:A Hybrid Tree/Mesh Overlay for Application-Layer Live Video Multicast", In Proc of ICDCS, pp.49-49,2007
[30]Vinay Pai, Kapil Kumat, Karthik Tamilmani, et al. Chainsaw:Eliminating trees from overlay multicast[C]. N. Y Peet-to-Peer systems 2005:127-140
[31]Xinyan Zhang, Jiangchuan Liu, Bo Li, et al. CoolStreaming:A Data-driven Overlay Network for Live Media Streamimg[C].Proc. of 24th Annual Joint Conference of the IEEE Computer and Communications Societios. vol.3.2005:2102-2111
[32]Yipeng Zhou, Dah Ming Chiu, Lui, J.C.S. A Simple Model for Analyzing Peer-to-Peer Streaming Protocols [C]. Beijing, ICNP,2007:226-235.
[33]S. Cheung, M. Amman and X. Li. On the Use of Destination Set Grouping to Improve Fairness in Multicast Video Distribution. Proc. IEEE INFOCOM'96, Mar.1996.
[34]J. V Brett, C, A. lio, and S. Tatsuya, "Source-adaptive multilayered multicast algorithms for real-time video distribution," IEEE/ACM Trans. Netw., vol.8, pp.720-733,2000.
[35]L. Jiangchuan, L. Bo, and Z. Ya-Qin, "A hybrid adaptation protocol for TCP-friendly layered multicast and its optimal rate allocation," in INFOCOM2002. Twenty-First Annual Joint Conference of the IEEE Computer andCommunications Societies. Proceedings. IEEE,2002, pp. 1520-1529 vol.3.
[36]V K. Goyal, "Multiple description coding:compression meets the network,"Signal Processing Magazine, IEEE, vol.18, pp.74-93,2001.
[37]L. Weiping, "Overview of fine granularity scalability in MPEG-4 video standard," Circuits and Systems for Ildeo Technology, IEEE transactions.
[38]M. Steven, J. Van, and V Martin, "Receiver-driven layered multicast," in Conference proceedings on Applications, technologies, architectures, and protocols for computer communications Palo Alto, California, United States:ACM,1996.
[39]Joint Video Team (JVT), ISO/IEC 14496-10 and ITU-T Rec.H.264 Advanced Video Coding,2003.
[40]Stephan Wenger, H.264/AVC Over IP [J]. IEEE Transactions on Circuits and System for Video Technology 7(13):645-65,2003.
[41]Tao Fang, Lap PuiChau, A novel unequal error Protection approach for error resilient video transmission [J]. IEEE International Symposium on Circuits Systems.5(4):4022-4025,2005.
[42]ISO/IEC JTCI/SC29/WG11 DocumentN3056. Info Technology-Coding of Audio-Visual Objects, Part 2:Visual Amendment:Visual extensions. ISO/IEC 14496-2,2000.
[43]毕厚杰等,新一代视频编码标准H.264(第二版).人民邮电出版社,2003.
[44]朱少敏,刘建明等,电力设备三维网格模型自适应鲁邦水印算法,电工技术学报,26(12)：197-204,2011.
[1]Hofmann, Markus; Leland R. Beaumont (2005). Content Networking:Architecture Protocols, and Practice. Morgan Kaufmann Publisher. ISBN 1-55860-834-6
[2]Dong Yan Xu, Kulkarni Sunil Suresh. Analysis of a CDN-P2P hybrid architecture for cost effective streaming media distribution. Multimedia Systems,2006,11 (4):383-399
[3]Akamai.httP://baike.baidu.com
[4]Konstantin, A., Bruce, M.M., Adam, M. and Ramesh, K.S., Designing overlay multicast networks for streaming[C]. in Proceedings of the fifteenth annual ACM symposium on Parallel algorithms and architectures, San Diego, California, USA,2003, ACM.
[5]Y Liu, Y Guo. A Survey on P2P Video Streaming Systems. Peer-to-peer Networking and Applications,2008
[6]M. Castro, E Drusehel, A-M. Kermarrec, A. Nandi, A. Rowstron and A. Singh, "SplitStream:High-bandwidth multicast in a cooperative environment",SOSP'03. Lake Bolton. New York,2003.10.
[7]Pai V, Kumar K, Tamilmani K, et al. Chainsaw:eliminating trees from overlay multicast[C]/1Proceedings of IEEE International Workshop on Peer-to-Peer Systems (IPTPS'OS), 2005,127-140.
[8]Pando P4PTechnology[EB10L].http://www.pandonetworks.com/p2p/
[9]Xie, N., fang, Y.R., Krishnamurthy, A., Liu, Y. and Silberschatz, A., P4P:Provider portal for P2P applications[C]. in Proceedings ofACMSIGCOMM,2008.
[1]Bianconi G., Barabasi A.-L. Bose-Einstein condensation in complex networks. Phys. Rev. Lett, vol.86, pp.5632-5635,2001.
[2]Chen qinghua, Shi Dinghua. The modeling of scale-free networks. Physica A,2004, 335:240-248.
[3]Bianconi G, Barabasi AL. Competition and multiscaling in evolving networks. Eurphys Lett,2001,54:436-442.
[4]M.Faloutsos, RFaloutsos, andC. Faloutsos. On Power-law relationships of the internet topology[J].Computer Communications Review,1999,29(1):251-262.
[5]R-Albert, H·Jeong. Diameter of the world wide web [J]. Nature,1999, 401(6749):130-131
[6]A.L.Barabasi. Evolmion of the social network of scientific collaborations [J]. PhysieaA, 2002,311(34):590-61
[7]H.Ebel, M.LMielsch, and S.Bornholdt. Scale-free topology of e-mail networks [J]. Physical Review E,2002,66(3):035103.
[8]Jovanovic M, Annexstein F, Berman K. Modeling peer-to-peer network topologies through "small-world" models and power laws. In:Proceedings of the IX-Telecommunications Forum TELFOR 2001.Belgrade,2001. http://www.telfor.org.yu/telfor2001/radovi/2-14. Pdf.
[9]A.L. Barabasi and R.Albert. Emergence of scaling in random networks [J]. Science, 1999 286(5439):509512.
[10]Goh K I, Kahng B, Kim, D. Universal behavior of load distribution in scale-free networks [J].Phys. Rev. Lett.2001,87(2):278701.
[11]李东亮,基于无标度网络的P2P研究,硕士论文,2010,4.
[12]王琴琴,基于复杂网络的P2P系统模型及应用的研究,硕士论文,2010,5
[13]黄新力,基于复杂网络理论的对等计算系统关键技术研究,博士论文,2006,12.
[1]尹浩,林闯,文浩,等.大规模流媒体应用中关键技术的研究.计算机学报,2008,31(5)：755-774
[2]蒋海,李军,李忠诚.混合内容分发网络及其性能分析模型.计算机学报,2009,32(3)：473-482
[3]Dong Yan Xu. Kulkarni Sunil Suresh.Analysis of a CDN-P2P hybrid architecture for cost effective streaming media distribution.Multimedia Systems,2006. 11(4):383-399
[4]Ke Li, Wan Lei Zhou, Shui Yu, et al. A re source search and routing algorithm with in PCDN autonomy area.2007 Proceedings of the International Conference on Parallel and Distributed Computing, Applications and Technologies, USA,vol.6:509-514
[5]Ke Li, Wan Lei Zhou, Shui Yu, et al. Novel data management algorithms in peer to peer content distribution networks. Lecture Notes in Computer Science,2007,56:538-543
[6]Guo Min Zhang, Chang You Xing, Ming Chen. A distributed multimedia CDN model with P2P architecture.2006 Proceedings of the International Symposium on Communications and Information Technologies (ISCIT'06), BangKok, vol.7:152-156.
[7]D. Xu, S. Kulkarni, C. Rosenberg, et al. A CDN-P2P hybrid architecture for cost-effective streaming media distribution. Computer Networks.2004,44(3):353-382
[8]A. Montresor and M. Jelasity, Peersim:A scalable p2p simulator, in Peer-to-Peer Computing,2009, pp.99-100
[9]B.Krishnamurthy and J.Wang. On network-aware clustering of Web clients. ACMSIGCOMM Computer Communication review,2000,30(4)97-110.
[10]L.Garces-Erice, K.W. ross and E.W. blERSACK. Topology-Centric look-up Service. in Proceedings of COST264/ACM Fifth International Workshop on Networked Group Communications (NGC),2003,79-88.
[11]James Guy ton and Mechael Schwartz, Locating neary copies of replicated Internet servers,in Proceedings of SIGCOMM'95,Boston,MA,Sept,1995,ACM.
[12]T. S Eugene Ng and HuiZhang, Predicting the Internet network distance with coordinates-based approaches, in Proceeding of INFOCOM2002,New york,June 2002.
[13]Dabek, F., Cox, R., Kaashoek, F., and Morris, R. Vivaldi:a decentralized network coordinate system. In ACM SIGCOMM (2004).
[14]Beauchamp MA:An Improved Index of Centrality, Behavoral Science 10(2)[J], (1965) 161-163.
[15]邱苑华,现代管理决策理论方法与实践[M].北京：北京航空航天大学出版社.2004,12,42.
[16]方大春等,信息熵在投资决策中的应用[J].价值工程,2004,2,115.
[17]J. Lu, C.G Shi, A web-based decision support system:for mufti-objective decision-making, in:13th International Conference on Pacific Rim Management, July 31-August 2,2003, Seattle, WA, USA,2003.
[18]Informed mufti-objective decision-making in environmental management using Pareto optimality. Journal of Applied Ecology. v45 i 1.181-192.
[19]闰文周,顾连胜.嫡在工程招标中的应用.西安建筑科技大学学报,2004,36(1)：98-100
[20]Xu, J.P and Liu, YG, Multi-objective decision making model under fuzzy random environment and its application to inventory problems. Information Sciences. v178.2899-2914.
[21]Hwang, C.-L. and Masud, A.S.M., Multiple Objective Decision Making-Methods and Applications. In:Lecture Notes in Economics and Mathematical Systems, Vol.164. Springer, Berlin.
[1]Massoulie, L.; Twigg, A.; Gkantsidis, C.; Rodriguez, P. "Randomized Decentralized Broadcasting Algorithms," INFOCOM 2007.26th IEEE International Conference on Computer Communications. IEEE, vol., no., pp.1073-1081,6-12 May 2007.
[2]PAI V, KUMAR K, TAMILMANI K, et al. Chainsaw:Eliminating trees from overlay multicast [J]. Peer-to-Peer Systems Iv,2005,3640:127-40.
[3]Z. Xinyan, L. Jiangchuan, L. Bo, and Y S. P. Yum, "CoolStreaming/DONet:a data-driven overlay network for peer-to-peer live media streaming," in INFOCOM 2005.24th Annual Joint Conference of the IEEE Computer and Communications Societies. Proceedings IEEE,2005, pp.2102-2111 vol.3.
[4]Pianese F, Keller J, Biersack E W. PULSE:a flexible P2P live streaming system[C]//Proceedings of IEEE INFOCOM,2006,1-6
[5]Tian Ruixiong, Yongqiang Xiong, Qian zhang, Xing Li. Hybrid Overlay Structure Based on Random walk. IPTPS'O5. Feb,2005.
[6]Jesse S.A. Bridgewater, Vwani P. Roychowdhury and P. Oscar Boykin. Balanced Overlay Networks (BON):An Overlay Technology for Decentralized Load Balancing. IEEE Transactions on Parallel and Distributed Systems, Vol.18, no.8, pp1122-1133, Jun.,2007.
[7]M. Mitaenmacher,"A brief history of generative models for power law and lognormal distributions," Internet Math 1, no.2, pp.226-251,2003.
[8]D. Liang, C. Yi, and X. Yuan, "Maximizing Throughput in Layered Peer-to-Peer Streaming," in Communications,2007. ICC '07. IEEE International Conference on,2007, pp. 1734-1739.
[9]X. Xin, S. Yuanchun, Z. Baopeng, and Cx Yuan, "OCals:A Novel Overlay Construction Approach for Layered Streaming," in Communications,2008. ICC'08. IEEE International Conference on,2008, pp.1807-1812.
[10]X. Xin, S. Yuanchun, Z. Baopeng, and Cx Yuan, "OCals:A Novel Overlay Construction Approach for Layered Streaming," in Communications,2008. ICC'08. IEEE International Conference on,2008, pp.1807-1812.
[11]Y Okada, M. Oguro, J. Katto, and S. Okubo, "A New Approach for the Construction of ALM Trees using Layered Coding," in Autonomic and Autonomous Systems and International Conference on Networking and Services,2005. ICAS-ICNS 2005. Joint International Conference on,2005, pp.12-12.
[12]J.Liang and K. Nahrstedt, "RandPeer:Membership Management for QoS Sensitive Peer-to-Peer Applications," in INFOCOM 2006.25th IEEE International Conference on Computer Communications. Proceedings,2006, pp.1-10.
[13]Guo Y, Suh K, Kurose J, et al. P2Cast:P2P patching scheme for VoD service, In Proceedings of the WWW 2003. New York:ACM Press,2003.301-309.
[14]Do T, Hua K, Tantaoui M. P2VoD:Providing fault tolerant video-on-demand streaming in peer-to-peer environment. In:Proceedings of the 2004 IEEE International Conference on Communications. New York:IEEE Communications Society.2004:1467-1472
[15]Hefeeda M, Habib A, Botev B, et al. PROMISE:a peer-to-peer media streaming using collectcast. In:Proceedings of the 11th ACM International Conference on Multimedia. New York: ACM Press.2003:42-54
[16]K. Calvert, M. Doar, E. Zegura. Modeling Internet topology. IEEE Communications
[17]Z. Jin, Y Fan, Z. Qian, and Z. Zhensheng, "On Improving the Throug Media Delivery Applications in Heterogeneous Overlay Network," in Global Telecommunications Conference, 2006. GLOBECOM'06. IEEE,2006, pp1-6
[18]Q. Min and Z. Roger, "Improving mobile ad-hoc streaming performance through adaptive layer selection with scalable video coding," in Proceedings of the 15th international conference on Multimedia Augsburg, Germany:ACM,2007.
[19]T. Hossain, C. Yi, and X. Yuan, "On the Optimality of Layered Video StreamingRate in a P2P Mesh Network," in Computer Communications and Networks,2009. ICCCN 2009. Proceedings of 18th Internatonal Conference on,2009, pp.
[20]C. Yi and N.Klara, "Layered peer-to-peer streaming," in Proceedings of the the 13th international workshop on Network and operating systems support digital audio and video Monterey, CA, USA:ACM,2003.
[21]R. Reza and 0. Antonio, "PALS:peer-to-peer adaptive layered streaming," in Proceedings of the 13th international workshop on Network and operating systems support for digital audio and video Monterey, CA, USA:ACM,2003.
[22]T. Hossain, C. Yi, and X. Yuan, "On the Optimality of Layered Video Streaming Rate in a P2P Mesh Network," in Computer Communications and Networks,2009. ICCCN 2009. Proceedings of 18th Internatonal Conference on,2009, pp.1-6.
[1]赵峰,陶小峰等.ICT网络的移动视频会议系统测试模型,经济发展方式转变与自主创新—第十二届中国科学技术协会年会(第四卷),2010(11)
[2]赵峰；李宏佳等,移动视频会议系统在国网ICT网络中的研究与应用,电力系统通信,2009(11)
[3]Zhao Feng, Liu Jianming, Hu Dan, Zhang Yuexia. Study on the application of advanced broadband wireless mobile communication technology in smart grid.2010 International Conference on Power System Technology:Technological Innovations Making Power Grid Smarter, POWERCON2010.
[4]Zhao Feng, Liu Jianming, Zhang Yuexia.Study on power mobile multimedia system.13th International Conference on Advanced Communication Technology:Smart Service Innovation through Mobile Interactivity, ICACT 2011, Proceeding.
[5]Zhao Feng, Zhang Yuexia. Study on smart grid communications system based on new generation wireless technology.2011 International Conference on Electronics, Communications and Control, ICECC 2011-Proceedings.
[2]江小帆,李翔,陈关荣.复杂网络理论及其应用.清华大学出版社：北京,2006.
[3]方锦清,汪小帆,郑志刚等.一门崭新的交叉科学：网络科学(上)[J].物理学进展,2007,27(3)：239-343.
[4]方锦清,汪小帆,郑志刚等.一门崭新的交叉科学：网络科学(下)[J].物理学进展,2007,27(4)：361-448.
[5]吴俊.复杂网络拓扑结构抗毁性研究[DJ.长沙：国防科技大学博士学位论文,2008.
[6]方锦青.令人关注的复杂性科学和复杂性研究[J].自然杂志,2002,24(1),7-15.
[7]刘建国.复杂网络模型构建及其在知识系统中的应用.大连：大连理工大学,2006.
[8]何大韧,刘宗华,汪秉宏.复杂系统与复杂网络[M].北京,高等教育出版社,2009.
[9]Ziyan Zhao, Jianming liu, Ruirui Zhang. Research of Safety and Risk Assessment Technology for Power System Communication Services. PowerCon2010.
[10]Zhao ziyan, Xiong Suqin, Zhou Jing. Backbone Network Bandwidth Prediction and Plan Technology Research Based on Smart Grid Telecommunication Services Analysis. PowerCon 2010,hangzhou,China.
[11]刘建明,赵峰等.光传送技术在电力系统中的应用研究,电力系统通信,2009(8),ppl-5.
[12]刘建明,赵峰等.ICT网络模式的关键技术与发展,电力系统通信,2009(4),pp1-5.
[13]赵峰,陶小峰等.ICT网络的移动视频会议系统测试模型,经济发展方式转变与自主创新—第十二届中国科学技术协会年会(第四卷),2010(11)
[14]Yan C,Zhou T, Hu B, et al. Efficient routing on complex networks[J], Physical Review E,2006,73(4):108-112.
[15]Watts D.J.and Strogatz S.H., Collective dynamics of small-world networks, Nature393,1998, pp.440-442.
[16]Barabasi A. L., Albert R. Emergence of scaling in random networks. Science, vol.286, pp.509-512,1999.
[17]Jeong H., Tombor B., Albert R., et al. The large-scale organization of metabolic networks.Nature.vol.407, pp.651-654,2000.
[18]Jeong H., Mason S., Barabasi A.-L., et al. Lethality and centrality in protein networks.Nature.vol.411, pp.41-42,2001.
[19]P. Helm, M. Technology,Mita, T. Bourouina, C Reyne, and H. Fujita. micromachining of process for Lightwave Self-aligned large-scale, free-space optical cross-connects, Journal 2000.18(12):1785-1791.
[20]White J. G., Southgate E., Thompson J. N., et al. The structure of the nervous system of thenematode C. Elegans. Phil. Traps. R. Soc. London, vol.314, pp.1-340,1986.
[21]E. Massad, S. Ma, M. Chen, C. J. Struchiner, N. Stollenwerk, and M. Aguiar. Scale-free network of a dengue epidemic, Applied Mathematics and Computation,2008.195(2):376-381.
[22]D. Volchenkov, L. Volchenkova,P. Blanchard. Epidemic spreading in a variety of scale free networks, Physical Review Estatistical, Nonlinear, and Soft Matter Physics,2002.66(4): 046137.
[23]R. Pastor-Satorras,A. Vespignani. Epidemic spreading in scale-free networks, Physical Review Letters,2001.86(14):3200-3203.
[24]Ebel H., Mielsch L.-I, Bornholdt S. Scale-free topology of e-mail networks. Phys. Rev. E, vol.66,035103,2002.
[25]Newman M. E. J., Forrest S., Balthrop J. Email networks and the spread of computer viruses. PhysRev. E, vol.66,035101,2002.
[26]吴建军.城市交通网络拓扑结构复杂性研究[D].北京,北方交通大学,2008.
[27]王波.基于派系的复杂网络及其在公交网络上的应用研究[D].浙江：浙江工业大学,2009.
[28]马杰良,王俊超,郑伟才.加权演化的交通网络模型研究[J].南京信息工程大学学报,自然科学版,2010,2(1),31-34.
[29]马嘉琪,白雁,韩宝明.城市轨道交通线基本单元与复杂网络性能分析[J].交通运输工程学报,2010,10(4)：65-70.
[30]王安斯.基于事故链的电网脆弱性评估与稳定控制[D].华北：华中科技大学,2010.
[31]Latora, V.and Marchiori, M., Is the Boston subway a small-world network physical A214,2002,109-113.
[32]王光增.基于复杂网络理论的复杂电力网络建模[D].浙江：浙江大学,2009.
[33]Surdutovich.G, Gortez.CVR.Dynamics of "small world" networks and vulnerability of the electric power grid. Proceedings of the VIII Symposium of Specialists in Electric Operational and Expansion Planning, Brazil 2002.
[34]Chen Q., Chang H., Govindan R., et al. The origin of power laws in Internet topologies revisited. In Proceedings of the 21St Annual Joint Conference of the IEEE Computer and Communications Societies,2002.
[35]Li L, Alderson D, Doyle J, et al. Towards a theory of scale-free graphs: Definition,properties and implications[J], Internet Mathematics,2005,2(4):431-523.
[36]Faloutsos M., Faloutsos P., Faloutsos, C. On power-law relationships of the Internet topology.Computer Communications Review, vol.29, pp.251-262,1999.
[37]Albert R., Jeong H., Barabasi A.-L. Diameter of the world-wide web. Nature, vol.401, pp.130-131,1999.
[38]Barabasi A.-L., Albert R., Jeong H. Scale-free characteristics of random networks:The topology of the World Wide Web. Physica A, vol.281, pp.69-77,2000.
[39]Burda Z., Comeia J. D., Krzywicki A. Statistical ensemble of scale-free random graphs. Phys. Rev.E, vol.64,046118,2001.
[40]Watts D. J. The new 'science' of networks. Annual Review Sociology, vol.30, pp. 243-270,2004.
[1]汪小帆,李翔,陈关荣.复杂网络理论及其应用[M].北京：清华大学出版社,2006：10.
[2]复杂网络,http://baike.baidu.com/view/1195034.htm
[3]吴君青,陈卫卫,胡谷雨,物理网络拓扑发现算法的研究与改进,北京邮电大学学报,2003
[4]郑海,张国清,物理网络拓扑发现算法的研究,计算机研究与发展,2002
[5]Barabasi Albert-Laszlo, Albert Reka. Statistical mechanics of complex network [J]. Review of Modern Physics,2002,74 (1):47-97.
[6]Erdos P.A Renyi. On the evolution of random graphs [J]. Publications of the Mathematical Institute of the Hungarian Academy of Sciences,1960,5:17-61.
[7]D J Watts, The New Science of Networks,Annual Review of Sociology,2004, 30:243-270
[8]D J Watts,S H Strogatz, Collective Dynamics of'Small World' Networks, Nature,1998, 393(6684):440-442
[9]R.Albert and A-L.Barabasi. Rev.Mod Phys,74(2002)47.
[10]A-L.Barabasi and R.Albert. Science,286(1999)509.
[11]JANNOTTI J, GIFFORD D K, JOHNSON K L, et al. Overcast:Reliable multicasting with an overlay network [J]. Usenix Association Proceedings of the Fourth Symposium on Operating Systems Design and Implementation,2000,197-212.
[12]CHU Y H, RAO SG, SESHAN S, et al. A case for end system multicast [J]. IEEE J Sel Area Comm,2002,20(8):1456-71.
[13]http://www.peercast. Org
[14]L.Jianjun Zhang, Lakshmish Ramaswamy, Calton Pu "PeerCast: Churn-resilient end system multicast on heterogeneous overlay networks," J.Network and ComputerApplications vol.312008
[15]J. Liebeherr, "HyperCast:A Protocol for Maintaining Multicast Group Members in a Logical Hypercube Topology," Lecture Notes in Computer Science, vol.1736, pp.72-89,2004
[16]N. P Venkata, J. W. Helen, A. C. Philip, and S. Kunwadee, "Distributing streaming media content using cooperative networking," in Proceedings of the 12th international workshop on Network and operating systems support fordigital audio and video Miami, Florida, USA:ACM, 2002.
[17]M.B.H Deshpande, H Garcia-Molina, "streaming live media over a peer-to-peer network," in Technical Report. Stanford InfoLab.,2001.
[18]V N. Padmanabhan, H. J. Wang, and P. A. Chou, "Resilient peer-to-peer streaming," in Network Protocols,2003. Proceedings.11th IEEE International Conference on,2003, pp.16-27.
[19]Castro M, Druschel P, Kermarrec A M, et al. SplitStream:high-bandwidth multicastin cooperative environments. Proceedings of Symposium on Operating Systems Principles(SOSP) 2003, New York, USA,2003
[20]MAGHAREI N, REJAIE R. PRIME:peer-to-peer receiver-driven mesh-based streaming [J]. IEEE/ACM Trans Netw,2009,17(4):1052-65.
[21]PAI V, KUMAR K, TAMILMANI K, et al. Chainsaw:Eliminating trees from overlay multicast [J]. Peer-to-Peer Systems Iv,2005,3640:127-40.
[22]ZHANG M, ZHAO L, TANG Y et al. Large-scale live media streaming over peer-to-peer networks through global Internet [M]. Proceedings of the ACM workshop on Advances in peer-to-peer multimedia streaming. Hilton, Singapore, ACM.2005:21-8.
[23]MAGHAREI N, REJAIE R, GUO Y Mesh or multiple-tree:A comparative study of live P2P streaming approaches [J]. Infocom 2007, Vols 1-5.2007,1424-32.
[24]彭凯,武娟,杨宗凯,唐宏,”基于P2P的流媒体直播技术研究与展望,”计算机科学,vol.36,pp.10-15,2009.
[25]Z. Xinyan, L. Jiangchuan, L. Bo, and Y S. P. Yum, "CoolStreaming/DONet:a data-driven overlay network for peer-to-peer live media streaming," in INFOCOM 2005.24th Annual Joint Conference of the IEEE Computer and Communications Societies. Proceedings IEEE,2005, pp.2102-2111 vol.3.
[26]K. K. Vinay S. Pai, Karthik Tamilmani, Vinay Sambamurthy, Alexander E. Mohr,"Chainsaw:Eliminating Trees from Overlay Multicast," in 4th International Workshop, IPTPS, Ithaca, NY, USA, February 24-25,2005, pp.127-140.
[27]王守彦.基于P2P网络的流媒体直播系统的设计与实现.[硕士学位论文].大连理工大学.2007.
[28]叶枫张思发.基于Gossip协议的P2P流媒体直播系统的研究,计算机与数字工程,2009
[29]F. Wang, Y. Q. Xiong and J. C. Liu, "mTreebone:A Hybrid Tree/Mesh Overlay for Application-Layer Live Video Multicast", In Proc of ICDCS, pp.49-49,2007
[30]Vinay Pai, Kapil Kumat, Karthik Tamilmani, et al. Chainsaw:Eliminating trees from overlay multicast[C]. N. Y Peet-to-Peer systems 2005:127-140
[31]Xinyan Zhang, Jiangchuan Liu, Bo Li, et al. CoolStreaming:A Data-driven Overlay Network for Live Media Streamimg[C].Proc. of 24th Annual Joint Conference of the IEEE Computer and Communications Societios. vol.3.2005:2102-2111
[32]Yipeng Zhou, Dah Ming Chiu, Lui, J.C.S. A Simple Model for Analyzing Peer-to-Peer Streaming Protocols [C]. Beijing, ICNP,2007:226-235.
[33]S. Cheung, M. Amman and X. Li. On the Use of Destination Set Grouping to Improve Fairness in Multicast Video Distribution. Proc. IEEE INFOCOM'96, Mar.1996.
[34]J. V Brett, C, A. lio, and S. Tatsuya, "Source-adaptive multilayered multicast algorithms for real-time video distribution," IEEE/ACM Trans. Netw., vol.8, pp.720-733,2000.
[35]L. Jiangchuan, L. Bo, and Z. Ya-Qin, "A hybrid adaptation protocol for TCP-friendly layered multicast and its optimal rate allocation," in INFOCOM2002. Twenty-First Annual Joint Conference of the IEEE Computer andCommunications Societies. Proceedings. IEEE,2002, pp. 1520-1529 vol.3.
[36]V K. Goyal, "Multiple description coding:compression meets the network,"Signal Processing Magazine, IEEE, vol.18, pp.74-93,2001.
[37]L. Weiping, "Overview of fine granularity scalability in MPEG-4 video standard," Circuits and Systems for Ildeo Technology, IEEE transactions.
[38]M. Steven, J. Van, and V Martin, "Receiver-driven layered multicast," in Conference proceedings on Applications, technologies, architectures, and protocols for computer communications Palo Alto, California, United States:ACM,1996.
[39]Joint Video Team (JVT), ISO/IEC 14496-10 and ITU-T Rec.H.264 Advanced Video Coding,2003.
[40]Stephan Wenger, H.264/AVC Over IP [J]. IEEE Transactions on Circuits and System for Video Technology 7(13):645-65,2003.
[41]Tao Fang, Lap PuiChau, A novel unequal error Protection approach for error resilient video transmission [J]. IEEE International Symposium on Circuits Systems.5(4):4022-4025,2005.
[42]ISO/IEC JTCI/SC29/WG11 DocumentN3056. Info Technology-Coding of Audio-Visual Objects, Part 2:Visual Amendment:Visual extensions. ISO/IEC 14496-2,2000.
[43]毕厚杰等,新一代视频编码标准H.264(第二版).人民邮电出版社,2003.
[44]朱少敏,刘建明等,电力设备三维网格模型自适应鲁邦水印算法,电工技术学报,26(12)：197-204,2011.
[1]Hofmann, Markus; Leland R. Beaumont (2005). Content Networking:Architecture Protocols, and Practice. Morgan Kaufmann Publisher. ISBN 1-55860-834-6
[2]Dong Yan Xu, Kulkarni Sunil Suresh. Analysis of a CDN-P2P hybrid architecture for cost effective streaming media distribution. Multimedia Systems,2006,11 (4):383-399
[3]Akamai.httP://baike.baidu.com
[4]Konstantin, A., Bruce, M.M., Adam, M. and Ramesh, K.S., Designing overlay multicast networks for streaming[C]. in Proceedings of the fifteenth annual ACM symposium on Parallel algorithms and architectures, San Diego, California, USA,2003, ACM.
[5]Y Liu, Y Guo. A Survey on P2P Video Streaming Systems. Peer-to-peer Networking and Applications,2008
[6]M. Castro, E Drusehel, A-M. Kermarrec, A. Nandi, A. Rowstron and A. Singh, "SplitStream:High-bandwidth multicast in a cooperative environment",SOSP'03. Lake Bolton. New York,2003.10.
[7]Pai V, Kumar K, Tamilmani K, et al. Chainsaw:eliminating trees from overlay multicast[C]/1Proceedings of IEEE International Workshop on Peer-to-Peer Systems (IPTPS'OS), 2005,127-140.
[8]Pando P4PTechnology[EB10L].http://www.pandonetworks.com/p2p/
[9]Xie, N., fang, Y.R., Krishnamurthy, A., Liu, Y. and Silberschatz, A., P4P:Provider portal for P2P applications[C]. in Proceedings ofACMSIGCOMM,2008.
[1]Bianconi G., Barabasi A.-L. Bose-Einstein condensation in complex networks. Phys. Rev. Lett, vol.86, pp.5632-5635,2001.
[2]Chen qinghua, Shi Dinghua. The modeling of scale-free networks. Physica A,2004, 335:240-248.
[3]Bianconi G, Barabasi AL. Competition and multiscaling in evolving networks. Eurphys Lett,2001,54:436-442.
[4]M.Faloutsos, RFaloutsos, andC. Faloutsos. On Power-law relationships of the internet topology[J].Computer Communications Review,1999,29(1):251-262.
[5]R-Albert, H·Jeong. Diameter of the world wide web [J]. Nature,1999, 401(6749):130-131
[6]A.L.Barabasi. Evolmion of the social network of scientific collaborations [J]. PhysieaA, 2002,311(34):590-61
[7]H.Ebel, M.LMielsch, and S.Bornholdt. Scale-free topology of e-mail networks [J]. Physical Review E,2002,66(3):035103.
[8]Jovanovic M, Annexstein F, Berman K. Modeling peer-to-peer network topologies through "small-world" models and power laws. In:Proceedings of the IX-Telecommunications Forum TELFOR 2001.Belgrade,2001. http://www.telfor.org.yu/telfor2001/radovi/2-14. Pdf.
[9]A.L. Barabasi and R.Albert. Emergence of scaling in random networks [J]. Science, 1999 286(5439):509512.
[10]Goh K I, Kahng B, Kim, D. Universal behavior of load distribution in scale-free networks [J].Phys. Rev. Lett.2001,87(2):278701.
[11]李东亮,基于无标度网络的P2P研究,硕士论文,2010,4.
[12]王琴琴,基于复杂网络的P2P系统模型及应用的研究,硕士论文,2010,5
[13]黄新力,基于复杂网络理论的对等计算系统关键技术研究,博士论文,2006,12.
[1]尹浩,林闯,文浩,等.大规模流媒体应用中关键技术的研究.计算机学报,2008,31(5)：755-774
[2]蒋海,李军,李忠诚.混合内容分发网络及其性能分析模型.计算机学报,2009,32(3)：473-482
[3]Dong Yan Xu. Kulkarni Sunil Suresh.Analysis of a CDN-P2P hybrid architecture for cost effective streaming media distribution.Multimedia Systems,2006. 11(4):383-399
[4]Ke Li, Wan Lei Zhou, Shui Yu, et al. A re source search and routing algorithm with in PCDN autonomy area.2007 Proceedings of the International Conference on Parallel and Distributed Computing, Applications and Technologies, USA,vol.6:509-514
[5]Ke Li, Wan Lei Zhou, Shui Yu, et al. Novel data management algorithms in peer to peer content distribution networks. Lecture Notes in Computer Science,2007,56:538-543
[6]Guo Min Zhang, Chang You Xing, Ming Chen. A distributed multimedia CDN model with P2P architecture.2006 Proceedings of the International Symposium on Communications and Information Technologies (ISCIT'06), BangKok, vol.7:152-156.
[7]D. Xu, S. Kulkarni, C. Rosenberg, et al. A CDN-P2P hybrid architecture for cost-effective streaming media distribution. Computer Networks.2004,44(3):353-382
[8]A. Montresor and M. Jelasity, Peersim:A scalable p2p simulator, in Peer-to-Peer Computing,2009, pp.99-100
[9]B.Krishnamurthy and J.Wang. On network-aware clustering of Web clients. ACMSIGCOMM Computer Communication review,2000,30(4)97-110.
[10]L.Garces-Erice, K.W. ross and E.W. blERSACK. Topology-Centric look-up Service. in Proceedings of COST264/ACM Fifth International Workshop on Networked Group Communications (NGC),2003,79-88.
[11]James Guy ton and Mechael Schwartz, Locating neary copies of replicated Internet servers,in Proceedings of SIGCOMM'95,Boston,MA,Sept,1995,ACM.
[12]T. S Eugene Ng and HuiZhang, Predicting the Internet network distance with coordinates-based approaches, in Proceeding of INFOCOM2002,New york,June 2002.
[13]Dabek, F., Cox, R., Kaashoek, F., and Morris, R. Vivaldi:a decentralized network coordinate system. In ACM SIGCOMM (2004).
[14]Beauchamp MA:An Improved Index of Centrality, Behavoral Science 10(2)[J], (1965) 161-163.
[15]邱苑华,现代管理决策理论方法与实践[M].北京：北京航空航天大学出版社.2004,12,42.
[16]方大春等,信息熵在投资决策中的应用[J].价值工程,2004,2,115.
[17]J. Lu, C.G Shi, A web-based decision support system:for mufti-objective decision-making, in:13th International Conference on Pacific Rim Management, July 31-August 2,2003, Seattle, WA, USA,2003.
[18]Informed mufti-objective decision-making in environmental management using Pareto optimality. Journal of Applied Ecology. v45 i 1.181-192.
[19]闰文周,顾连胜.嫡在工程招标中的应用.西安建筑科技大学学报,2004,36(1)：98-100
[20]Xu, J.P and Liu, YG, Multi-objective decision making model under fuzzy random environment and its application to inventory problems. Information Sciences. v178.2899-2914.
[21]Hwang, C.-L. and Masud, A.S.M., Multiple Objective Decision Making-Methods and Applications. In:Lecture Notes in Economics and Mathematical Systems, Vol.164. Springer, Berlin.
[1]Massoulie, L.; Twigg, A.; Gkantsidis, C.; Rodriguez, P. "Randomized Decentralized Broadcasting Algorithms," INFOCOM 2007.26th IEEE International Conference on Computer Communications. IEEE, vol., no., pp.1073-1081,6-12 May 2007.
[2]PAI V, KUMAR K, TAMILMANI K, et al. Chainsaw:Eliminating trees from overlay multicast [J]. Peer-to-Peer Systems Iv,2005,3640:127-40.
[3]Z. Xinyan, L. Jiangchuan, L. Bo, and Y S. P. Yum, "CoolStreaming/DONet:a data-driven overlay network for peer-to-peer live media streaming," in INFOCOM 2005.24th Annual Joint Conference of the IEEE Computer and Communications Societies. Proceedings IEEE,2005, pp.2102-2111 vol.3.
[4]Pianese F, Keller J, Biersack E W. PULSE:a flexible P2P live streaming system[C]//Proceedings of IEEE INFOCOM,2006,1-6
[5]Tian Ruixiong, Yongqiang Xiong, Qian zhang, Xing Li. Hybrid Overlay Structure Based on Random walk. IPTPS'O5. Feb,2005.
[6]Jesse S.A. Bridgewater, Vwani P. Roychowdhury and P. Oscar Boykin. Balanced Overlay Networks (BON):An Overlay Technology for Decentralized Load Balancing. IEEE Transactions on Parallel and Distributed Systems, Vol.18, no.8, pp1122-1133, Jun.,2007.
[7]M. Mitaenmacher,"A brief history of generative models for power law and lognormal distributions," Internet Math 1, no.2, pp.226-251,2003.
[8]D. Liang, C. Yi, and X. Yuan, "Maximizing Throughput in Layered Peer-to-Peer Streaming," in Communications,2007. ICC '07. IEEE International Conference on,2007, pp. 1734-1739.
[9]X. Xin, S. Yuanchun, Z. Baopeng, and Cx Yuan, "OCals:A Novel Overlay Construction Approach for Layered Streaming," in Communications,2008. ICC'08. IEEE International Conference on,2008, pp.1807-1812.
[10]X. Xin, S. Yuanchun, Z. Baopeng, and Cx Yuan, "OCals:A Novel Overlay Construction Approach for Layered Streaming," in Communications,2008. ICC'08. IEEE International Conference on,2008, pp.1807-1812.
[11]Y Okada, M. Oguro, J. Katto, and S. Okubo, "A New Approach for the Construction of ALM Trees using Layered Coding," in Autonomic and Autonomous Systems and International Conference on Networking and Services,2005. ICAS-ICNS 2005. Joint International Conference on,2005, pp.12-12.
[12]J.Liang and K. Nahrstedt, "RandPeer:Membership Management for QoS Sensitive Peer-to-Peer Applications," in INFOCOM 2006.25th IEEE International Conference on Computer Communications. Proceedings,2006, pp.1-10.
[13]Guo Y, Suh K, Kurose J, et al. P2Cast:P2P patching scheme for VoD service, In Proceedings of the WWW 2003. New York:ACM Press,2003.301-309.
[14]Do T, Hua K, Tantaoui M. P2VoD:Providing fault tolerant video-on-demand streaming in peer-to-peer environment. In:Proceedings of the 2004 IEEE International Conference on Communications. New York:IEEE Communications Society.2004:1467-1472
[15]Hefeeda M, Habib A, Botev B, et al. PROMISE:a peer-to-peer media streaming using collectcast. In:Proceedings of the 11th ACM International Conference on Multimedia. New York: ACM Press.2003:42-54
[16]K. Calvert, M. Doar, E. Zegura. Modeling Internet topology. IEEE Communications
[17]Z. Jin, Y Fan, Z. Qian, and Z. Zhensheng, "On Improving the Throug Media Delivery Applications in Heterogeneous Overlay Network," in Global Telecommunications Conference, 2006. GLOBECOM'06. IEEE,2006, pp1-6
[18]Q. Min and Z. Roger, "Improving mobile ad-hoc streaming performance through adaptive layer selection with scalable video coding," in Proceedings of the 15th international conference on Multimedia Augsburg, Germany:ACM,2007.
[19]T. Hossain, C. Yi, and X. Yuan, "On the Optimality of Layered Video StreamingRate in a P2P Mesh Network," in Computer Communications and Networks,2009. ICCCN 2009. Proceedings of 18th Internatonal Conference on,2009, pp.
[20]C. Yi and N.Klara, "Layered peer-to-peer streaming," in Proceedings of the the 13th international workshop on Network and operating systems support digital audio and video Monterey, CA, USA:ACM,2003.
[21]R. Reza and 0. Antonio, "PALS:peer-to-peer adaptive layered streaming," in Proceedings of the 13th international workshop on Network and operating systems support for digital audio and video Monterey, CA, USA:ACM,2003.
[22]T. Hossain, C. Yi, and X. Yuan, "On the Optimality of Layered Video Streaming Rate in a P2P Mesh Network," in Computer Communications and Networks,2009. ICCCN 2009. Proceedings of 18th Internatonal Conference on,2009, pp.1-6.
[1]赵峰,陶小峰等.ICT网络的移动视频会议系统测试模型,经济发展方式转变与自主创新—第十二届中国科学技术协会年会(第四卷),2010(11)
[2]赵峰；李宏佳等,移动视频会议系统在国网ICT网络中的研究与应用,电力系统通信,2009(11)
[3]Zhao Feng, Liu Jianming, Hu Dan, Zhang Yuexia. Study on the application of advanced broadband wireless mobile communication technology in smart grid.2010 International Conference on Power System Technology:Technological Innovations Making Power Grid Smarter, POWERCON2010.
[4]Zhao Feng, Liu Jianming, Zhang Yuexia.Study on power mobile multimedia system.13th International Conference on Advanced Communication Technology:Smart Service Innovation through Mobile Interactivity, ICACT 2011, Proceeding.
[5]Zhao Feng, Zhang Yuexia. Study on smart grid communications system based on new generation wireless technology.2011 International Conference on Electronics, Communications and Control, ICECC 2011-Proceedings.