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22nd International Conference on Advanced Information Networking and Applications (aina 2008)最新文献

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Performance Analysis and Industrial Practice of Peer-Assisted Content Distribution Network for Large-Scale Live Video Streaming 大规模视频流直播中对等辅助内容分发网络的性能分析与产业实践
Xuening Liu, H. Yin, Chuang Lin, Yu Liu, Zhijia Chen, Xin Xiao
Recently efficient and scalable live video streaming system over the Internet has become a hot topic. In order to improve the system performance metrics, such as startup delay, source-to-end delay, playback continuity and scalability, many previous works developed two successful cases of content distribution network (CDN) and peer-to-peer (P2P) Network for the design of large-scale live video streaming systems, but no single one has yet delivered both the scale and service quality. To combine the advantages of CDN and P2P network has been considered as a feasible orientation for large-scale video stream delivering. In this paper, we propose a peer-assisted content distribution network, i.e. PACDN, which borrows the mesh-based P2P ideas into the traditional CDN to enhance the performance and scalability. The basic features of PACDN include: 1) To meet the real time requirement of live video stream service, i.e. to ensure that the video stream could be continuously and stably delivered from the source to each edge server for offering good QoS to different regions clients, the placement edge servers and source streaming server(s) build a hierarchical multi-tree based and in-hierarchy peer-assisted overlay, which is optimized according to the knowledge of underlying physical topology. This scheme in the design is called "server side peer-assisted". 2) To enhance the system scalability and reduce the deployment cost, clients and edge servers construct a Client/Server based and P2P network assisted overlay with the increasing of viewers, which is called "client side peer-assisted" in this design. We compare the inner performance of PACDN with existing approaches based on comprehensive simulations and analysis. The results show that our proposed design outperforms previous systems in the service quality and scalability. PACDN has been implemented as an Internet live video streaming service and it was successfully deployed for broadcasting many important live programs in China in 2007. The industrial experiences prove that this design is scalable and reliable. We believe that the wide deployment of PACDN and its further development will soon benefit many more Internet users.
近年来,高效、可扩展的互联网视频直播系统已成为一个热门话题。为了提高系统的性能指标,如启动延迟、源到端延迟、播放连续性和可扩展性,许多前人的工作开发了内容分发网络(CDN)和点对点网络(P2P)两种成功的案例来设计大型视频直播系统,但还没有一种能够同时实现规模和服务质量。结合CDN和P2P网络的优势,被认为是大规模视频流传输的可行方向。本文提出了一种peer-assisted content distribution network,即PACDN,它将基于网格的P2P思想引入到传统的CDN中,以增强其性能和可扩展性。PACDN的基本特征包括:1)为满足视频流直播业务的实时性要求,即确保视频流能够连续稳定地从源端传输到各个边缘服务器,从而为不同区域的客户端提供良好的QoS,放置边缘服务器和源流服务器构建了基于分层多树的分层对等辅助覆盖,并根据底层物理拓扑知识进行优化。该方案在设计中被称为“服务器端对等辅助”。2)为了增强系统的可扩展性,降低部署成本,随着观看者的增加,客户端和边缘服务器构建了基于Client/Server的P2P网络辅助覆盖,本设计称之为“客户端对等辅助”。在综合仿真分析的基础上,比较了PACDN与现有方案的内部性能。结果表明,我们提出的设计在服务质量和可扩展性方面优于以往的系统。PACDN作为一种互联网直播视频流服务已经实现,并于2007年在中国成功部署了许多重要的直播节目。工业实践证明,该设计具有可扩展性和可靠性。我们相信,PACDN的广泛部署和进一步发展将很快使更多的互联网用户受益。
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引用次数: 22
A PPM Prediction Model Based on Stochastic Gradient Descent for Web Prefetching 基于随机梯度下降的网页预取PPM预测模型
Zhijie Ban, Zhimin Gu, Yu Jin
PPM models are commonly used to predict the user's next request in Web prefetching by extracting useful knowledge from historical user requests. Any of features such as page access frequency, prediction feedback, context length and conditional probability can influence on the prefetching performance of PPM models. However, existing PPM models only consider one or a few of them. Based on stochastic gradient descent, we present a novel PPM model that takes into account all the above mentioned features. Our model defines a target function to describe a node's prediction capability, which is a linear combination of these features. In order to decrease the number of incorrect predictions, weights of these features are dynamically updated over every example according to the stochastic gradient descent rule. Our model selects a node with the maximum target function value among all matching nodes to predict the next most probable page. We use real web logs to examine proposed model. The simulation shows our model can significantly improve the prefetching performance.
PPM模型通常用于通过从历史用户请求中提取有用的知识来预测Web预取中的用户下一个请求。页面访问频率、预测反馈、上下文长度和条件概率等任何特征都可能影响PPM模型的预取性能。然而,现有的PPM模型只考虑其中的一个或几个。基于随机梯度下降,我们提出了一个考虑上述所有特征的PPM模型。我们的模型定义了一个目标函数来描述节点的预测能力,它是这些特征的线性组合。为了减少错误预测的数量,根据随机梯度下降规则在每个样本上动态更新这些特征的权重。我们的模型在所有匹配节点中选择目标函数值最大的节点来预测下一个最可能的页面。我们使用真实的网络日志来检验所提出的模型。仿真结果表明,该模型能显著提高预取性能。
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引用次数: 14
Dynamic Web Services on a Home Service Platform 家庭服务平台上的动态Web服务
A. Bottaro, E. Simon, Stéphane Seyvoz, A. Gérodolle
The home network is a pervasive environment by nature. Its openness to dynamic distributed and heterogeneous devices brings great challenges in home application design. We present here an open architecture for home service development. Distribution and heterogeneity are managed by service-oriented drivers leveraging the "service platform" concept. Our project provides an open source driver combining Web services and OSGi standards to compose home services. Performance test results illustrate the service-oriented design.
家庭网络本质上是一个无处不在的环境。它对动态分布式和异构设备的开放性给家庭应用设计带来了巨大的挑战。我们在这里提出了一个用于家庭服务开发的开放架构。分布和异构由利用“服务平台”概念的面向服务的驱动程序管理。我们的项目提供了一个开源驱动程序,该驱动程序将Web服务和OSGi标准结合起来组成家庭服务。性能测试结果说明了面向服务的设计。
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引用次数: 38
Mobile Agents for Service Discovery in Ad Hoc Networks Ad Hoc网络中用于服务发现的移动代理
R. Meier, J. Dunkel, Y. Kakuda, T. Ohta
Recently sophisticated protocols for routing in ad hoc networks have been proposed, but there is still little work on service discovery in such volatile environments. In this paper a mobile agent-based scheme for service discovery in ad hoc networks is introduced. Mobile agents are traveling through the network, collecting the dynamically changing service information. The travel route and the number of travel agents are adjusted according to the information state and the change of network topology. In a quantitative analysis the proposed algorithm is compared with the flooding scheme. The usefulness of the approach is proved by an implementation for mobile devices using J2ME and Bluetooth.
最近已经提出了用于自组织网络中的路由的复杂协议,但是在这种易变环境中的服务发现方面的工作仍然很少。本文介绍了一种基于移动代理的自组织网络服务发现方案。移动代理在网络中移动,收集动态变化的业务信息。根据信息状态和网络拓扑的变化,调整旅行路线和旅行社数量。在定量分析中,将该算法与泛洪算法进行了比较。使用J2ME和蓝牙的移动设备实现证明了该方法的有效性。
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引用次数: 30
Near Optimal Broadcasting in Optimal Triple Loop Graphs 最优三环图中的近最优广播
Hovhannes A. Harutyunyan, Edward Maraachlian
Triple loop networks (graphs) are generalizations of the ring topology where every vertex v is linked to 6 vertices v a, v b, v c. In this paper, we study the broadcast problem in optimal triple loop graphs. In 1987 for a restricted case a = -(b + c) the (maximum) number of vertices in the sub- optimal Triple loop graph has been proved to be a quadratic function of diameter d. In 1998 the broadcast time of this graph is proved to be d + 3. Recently, in 2003 the Optimal Triple Loop Graph in general was constructed, where its number of vertices is a cubic function of d. In this paper we prove d + 2 lower bound and d + 5 upper bound for broadcasting in general Optimal Triple Loop Graph. We also generalize our upper bound algorithm in Multiple Loop Graphs giving d + 2 k-1 general upper bound where the degree of every vertex is 2 k.
三环网络(图)是环拓扑的推广,其中每个顶点v连接到6个顶点v a, v b, v c。本文研究了最优三环图中的广播问题。1987年,在a = -(b + c)的限制情况下,证明了次最优三环图的顶点数是直径d的二次函数。1998年,证明了该图的广播时间为d + 3。2003年构造了一般最优三环图,其中顶点数是d的三次函数。本文证明了一般最优三环图广播的d + 2下界和d + 5上界。我们还将上界算法推广到多重循环图中,给出d + 2 k-1一般上界,其中每个顶点的度数为2 k。
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引用次数: 2
Dynamic Undeniable Fair Certified Email with DDoS Protection 动态不可否认的公平认证电子邮件与DDoS保护
Y. Permpoontanalarp, Jatupoom Kanokkanjanapong
Fair certified email is an email system which employs the fair exchange protocol. All existing approaches to fair certified email achieve the fair exchange property between a single sender and a receiver only. But they do not offer the fair exchange between all senders and a receiver. So, a malicious receiver can deny receiving messages from some senders but do receive messages from other senders. Also, the existing certified email protocols do not prevent the distributed denial of service attack by malicious senders. We propose a new certified email protocol which provides the fair exchange for all senders, called the undeniable fairness, and distributed denial of service protection.
公平认证电子邮件是一种采用公平交换协议的电子邮件系统。所有现有的公平认证电子邮件的方法都只实现了单个发送者和接收者之间的公平交换属性。但它们不能在所有发送者和接收者之间提供公平的交换。因此,恶意接收方可以拒绝接收来自某些发送方的消息,但可以接收来自其他发送方的消息。同时,现有的认证电子邮件协议也不能有效防止恶意发件人的分布式拒绝服务攻击。我们提出了一种新的认证电子邮件协议,它为所有发送者提供公平的交换,称为不可否认的公平性,并提供分布式拒绝服务保护。
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引用次数: 2
Signal Classification Based on Spectral Correlation Analysis and SVM in Cognitive Radio 基于频谱相关分析和支持向量机的认知无线电信号分类
Hao Hu, Yujing Wang, Junde Song
Spectrum sensing is one of the most challenging functions in cognitive radio system. Detection of the presence of signals and distinction of the type of signals in a particular frequency band are critical for cognitive radios to adapt to the radio environment. In this paper, a novel approach to signal classification combining spectral correlation analysis and support vector machine (SVM) is introduced. Four spectral coherence characteristic parameters are chosen via spectral correlation analysis. By utilizing a nonlinear SVM, a significant amount of calculation is performed offline, thus the computational complexity is reduced. Simulations indicate that the overall success rate is above 92.8% with data length of 1000 when SNR is equal to 4 dB. Compared to the existing methods including the classifiers based on binary decision tree (BDT) and multilayer linear perceptron network (MLPN), the proposed approach is more effective in the case of low SNR and limited training numbers.
频谱感知是认知无线电系统中最具挑战性的功能之一。识别信号的存在和识别特定频段信号的类型是认知无线电适应无线电环境的关键。本文提出了一种结合频谱相关分析和支持向量机的信号分类方法。通过光谱相关分析,选择4个光谱相干特征参数。通过使用非线性支持向量机,大量的计算是离线进行的,从而降低了计算复杂度。仿真结果表明,当信噪比为4 dB时,当数据长度为1000时,总体成功率在92.8%以上。与基于二叉决策树(binary decision tree, BDT)和多层线性感知器网络(multilayer linear perceptron network, MLPN)的分类器方法相比,该方法在低信噪比和训练次数有限的情况下更有效。
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引用次数: 77
A Model for Behavioral Patterns in Web-Based Learning Environments 基于网络的学习环境中的行为模式模型
Chih-Ping Chu, Yi-Chun Chang
As Internet use has proliferated, Web-based learning systems have become more and more popular. Numerous researchers have spent a great deal of effort to facilitate the promotion of high quality Web-based learning environments, such as intelligent Web-based learning systems and adaptive learning. To facilitate such researches, students' behavioral patterns must be observed and experimentally analyzed. However, building a Web-based learning system and the requisite collecting of behavioral patterns usually takes a great deal of time and effort. To solve this problem, this paper proposes a learning behavioral model based on Colored Petri Nets (CPN) to model and generate students' behavioral patterns. To verify the viability of the proposed model, this paper compares actual data collected from elementary school students with the behavioral pattern generated by the proposed model. The results prove: (1) The generated behavioral pattern approaches actual student behavior; (2) The generated behavioral pattern serves as adequate test data to test whether the predicted learning content of an intelligent e-learning system is appropriate; and (3) The proposed model is capable of recommending the appropriate learning content for students utilizing e-learning systems.
随着互联网使用的激增,基于网络的学习系统变得越来越流行。智能网络学习系统、自适应学习等高质量的网络学习环境的推广,是众多研究人员努力的方向。为了便于此类研究,必须对学生的行为模式进行观察和实验分析。然而,建立一个基于网络的学习系统和必要的行为模式收集通常需要花费大量的时间和精力。为了解决这一问题,本文提出了一种基于彩色Petri网(CPN)的学习行为模型来建模和生成学生的行为模式。为了验证模型的可行性,本文将小学生的实际数据与模型生成的行为模式进行了比较。结果表明:(1)生成的行为模式接近学生的实际行为;(2)生成的行为模式作为足够的测试数据,用于测试智能电子学习系统预测的学习内容是否合适;(3)该模型能够为使用电子学习系统的学生推荐合适的学习内容。
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引用次数: 2
Parameter Estimation for MIMO Systems with Multiple Frequency Offsets 多频偏MIMO系统的参数估计
Wei Dong, Jiandong Li, Zhuo Lu
This paper addresses the problem of frequency offsets and channel gains estimation for MIMO system in flat-fading channels. Based on the MUSIC (multiple signal classification) and the ML (maximum likelihood) methods, a new joint estimation algorithm of frequency offsets and channel gains is proposed. The new algorithm has three steps. A subset of frequency offsets is first estimated by the MUSIC algorithm. Then all frequency offsets in the subset are identified by the ML method. Finally channel gains are estimated by the ML estimator. The algorithm is a one- dimensional search scheme and therefore greatly decreases the complexity of the joint ML estimation, which is essentially a multi-dimensional search scheme. The performance of this algorithm is evaluated by Monte Carlo simulations.
研究了MIMO系统在平坦衰落信道下的频率偏移和信道增益估计问题。基于MUSIC(多信号分类)和ML(最大似然)方法,提出了一种新的频率偏移和信道增益联合估计算法。新的算法有三个步骤。首先用MUSIC算法估计频率偏移的子集。然后用ML方法识别子集中的所有频率偏移。最后用机器学习估计器估计信道增益。该算法是一种一维搜索方案,因此大大降低了联合ML估计的复杂性,本质上是一种多维搜索方案。通过蒙特卡洛仿真对该算法的性能进行了评价。
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引用次数: 0
A Computing Model for Marketable Quality and Profitability of Corporations: Model Evaluation Based on Two Different Sources Data 企业适销质量与盈利能力的计算模型——基于两种不同来源数据的模型评价
Valbona Barolli, Heihachiro Fukuda, L. Barolli, M. Takizawa
In this paper, we introduce and evaluate a computing model for marketable quality and profitability of corporations. We discuss the model prediction of the turning and transition periods based on data from two different sources. By applying these real data of some leading manufacturing corporations in Japan, we analyze the model accuracy. From the analysis, we conclude that even there are some differences between two sources data, the proposed model give a good approximation and prediction of the turning and transition periods of Japanese economy.
本文介绍并评价了一个企业适销质量和盈利能力的计算模型。我们讨论了基于两种不同来源数据的转向期和过渡期的模型预测。利用日本一些主要制造业企业的实际数据,对模型的准确性进行了分析。分析表明,尽管两种来源的数据存在一定的差异,但所提出的模型能够很好地近似和预测日本经济的转折和转型时期。
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引用次数: 0
期刊
22nd International Conference on Advanced Information Networking and Applications (aina 2008)
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