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2013 27th International Conference on Advanced Information Networking and Applications Workshops最新文献

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A Semantic Registry for Cloud Services 云服务的语义注册表
Cristina Mindruta, Teodor-Florin Fortiş
In the context of the efforts to organize the knowledge in the new and emerging area of Cloud Computing we performed an analysis of relevant existing developments and built on this basis a framework for a semantic registry of cloud services. The framework contains core ontological definitions and extension mechanisms used to define ontologies for cloud services, related to the aspects of semantic discovery and composition of cloud services. The relevance of the proposed registry can be assessed in relation with cloud interoperability, cloud service composition, as well as software services that offer support for finding and selecting cloud services and for marketing advantages of different cloud providers.
在努力组织新兴云计算领域的知识的背景下,我们对相关的现有发展进行了分析,并在此基础上构建了一个云服务语义注册的框架。该框架包含用于定义云服务本体的核心本体定义和扩展机制,这些本体与云服务的语义发现和组合相关。可以根据云互操作性、云服务组合以及为查找和选择云服务以及为不同云提供商的营销优势提供支持的软件服务来评估拟议注册中心的相关性。
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引用次数: 10
Network Topology Inference from End-to-End Unicast Measurements 端到端单播测量的网络拓扑推断
A. Malekzadeh, M. MacGregor
Network tomography is the problem of discovering the delay and loss rate of the internal links of a network, assuming the internal nodes are not cooperating. The first step to solving this problem is finding network topology. Well-known tools such as trace route solve this problem, however they depend on cooperation of the internal nodes. This paper studies the problem of topology identification without relying on the cooperation of the internal nodes of the network. First, we suggest a novel probing scheme which is based on end-to-end unicast delay measurements. We then introduce a topology inference algorithm which uses the information from this probing scheme to find the topology of the network. Our experiments show that this approach improves the topology identification process compared to previous methods.
网络断层扫描是在假设网络内部节点不合作的情况下,发现网络内部链路的延迟和损失率的问题。解决这个问题的第一步是找到网络拓扑。众所周知,跟踪路由等工具可以解决这个问题,但它们依赖于内部节点的合作。本文研究了不依赖于网络内部节点协作的拓扑识别问题。首先,我们提出了一种新的基于端到端单播延迟测量的探测方案。然后,我们引入了一种拓扑推断算法,该算法使用该探测方案的信息来查找网络的拓扑。我们的实验表明,与以前的方法相比,该方法改善了拓扑识别过程。
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引用次数: 16
Designing a Testbed for Broadcast Opportunistic Wireless Data Dissemination Protocols 广播机会无线数据传播协议测试平台的设计
Nasif Muslim, Florian Pregizer
This paper describes the design of a test bed (Adhoc3) which has been developed as a research tool for evaluating the performance of the data dissemination protocols in the field of opportunistic networks. The test bed software system, including its requirements, the static and the dynamic structure, and the architecture, is designed and explained using UML diagrams which will provide the documentation for further software development.
本文描述了一个测试平台(Adhoc3)的设计,该平台已被开发为评估机会网络领域数据传播协议性能的研究工具。使用UML图对测试平台软件系统进行了设计和说明,包括其需求、静态和动态结构以及体系结构。UML图将为进一步的软件开发提供文档。
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引用次数: 2
Scripting a Smart City: The CityScripts Experiment in Santander 编写智慧城市:桑坦德的城市脚本实验
D. Carboni, A. Pintus, Andrea Piras, Alberto Serra, A. Badii, Marco Tiemann
This paper describes a work-in-progress programming experiment where the playground is an entire city. Based on the SmartSantander FIRE infrastructure, the City Script project is aimed at integrating and experimenting a Web of Things scenario in which sensors and actuators in the city have a digital counterpart and can eventually used to compose mashups with social networks and other digital online sources of data.
本文描述了一个正在进行的编程实验,其中操场是一个完整的城市。基于SmartSantander FIRE基础设施,城市脚本项目旨在整合和试验物联网场景,在该场景中,城市中的传感器和执行器有一个数字对应,最终可用于与社交网络和其他数字在线数据源组成混在一起。
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引用次数: 5
The Cloud Streaming Service Migration in Cloud Video Storage System 云视频存储系统中的云流媒体业务迁移
Y. Tsai
Video surveillance is used to solve the problems of public security and preservation of evidence. So far, many researchers have offered their secure systems. However, storage and streaming migration issues must be discussed in more detail. In the paper, a method for streaming service migration in a cloud video storage system and the system using the same are provided, and the cloud storage video system includes a directory host, stream processing apparatuses and detection apparatuses. The method includes: assigning a first stream processing apparatus to establish a first stream connection with a first detection apparatus among the detection apparatuses, and assigning at least a second stream processing apparatus to establish a second stream connection with the first detection apparatus but not to receive the video stream data from the first detection apparatus, and assigning the first processing apparatus to receive and store the video stream data from the first detection apparatus, and the second stream processing apparatus receives and stores the video stream data from the first detection apparatus when the directory host determines that the first stream connection is abnormal, and disconnects the first stream connection.
视频监控是用来解决公共安全和证据保全问题的。到目前为止,许多研究人员已经提供了他们的安全系统。但是,必须更详细地讨论存储和流迁移问题。本文提供了一种在云视频存储系统中实现流媒体服务迁移的方法及使用该方法的系统,所述云存储视频系统包括目录主机、流处理设备和检测设备。方法包括:指定第一流处理设备在检测设备之间与第一检测设备建立第一流连接,并指定至少第二流处理设备与第一检测设备建立第二流连接,但不接收来自第一检测设备的视频流数据,并指定第一处理设备接收和存储来自第一检测设备的视频流数据。当目录主机确定第一流连接异常时,第二流处理装置接收并存储来自第一检测装置的视频流数据,并断开第一流连接。
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引用次数: 5
System Design for Estimating Social Relationships from Sensing Data 基于传感数据估计社会关系的系统设计
Akihiro Kida, Tatsuro Takahashi, R. Shinkuma, H. Kasai, K. Yamaguchi, O. Mayora-Ibarra
As the number of network services provided in fixed and mobile environments are increasing recently, it becomes harder to expect users to manually pick up appropriate services from all these available. Therefore, it has been proposed that network services are automatically selected in accordance with relational information among people and other social objects, i.e., locations, things and contents. The fusion of online and physical sensing platforms has brought about the possibility of building relational information from sensing data: online logs and sensing data collected at mobile devices could reflect what objects people are related to in their daily lives. The relational information can be represented as a graph in which each node could be a social object and each link could represent a direct relation between two nodes and is called relational metric. We discuss how to build relational metrics from sensing data and propose a system design for it.
随着固定和移动环境中提供的网络服务数量最近不断增加,期望用户手动从所有这些可用的服务中选择适当的服务变得越来越困难。因此,有人提出,网络服务是根据人与其他社会对象(即位置、事物和内容)之间的关系信息自动选择的。在线与物理传感平台的融合,使得从传感数据构建关系信息成为可能:移动设备采集的在线日志和传感数据可以反映人们日常生活中与之相关的对象。关系信息可以表示为一个图,其中每个节点可以是一个社会对象,每个链接可以表示两个节点之间的直接关系,称为关系度量。我们讨论了如何从传感数据中构建关系度量,并提出了一个系统设计。
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引用次数: 1
Modeling and Evaluation of Machine Learning Based Network Management System for NGN 基于机器学习的NGN网络管理系统建模与评价
A. Bashar
The recent emphasis on monitoring and managing telecommunication networks in more intelligent and autonomic manner has led to the emergence and popularity of Machine Learning based Network Management Systems. In order to study the behavior and assess the performance of such NMS, it is essential that a suitable modeling and evaluation framework exists. The work presented here addresses this need and proposes an autonomic NMS which employs the prediction capabilities of the Bayesian Networks (BN) models. To achieve this, it formulates and models the BN-based Decision Support System for providing real-time decisions with regard to the Call Admission Control (CAC) problem in the Next Generation Network (NGN) environment. Simulated experiments are performed to verify the suitability and practicality of the proposed models. The novelty and relevance of this research is demonstrated through offline modeling and online performance evaluation of BNAC (Bayesian Networks-based Admission Control) by considering the metrics of Packet Delay, Packet Loss, Queue Size and Blocking Probability. The paper concludes that BNAC approach performs better than the Peak Rate CAC in terms of online CAC functionality.
最近强调以更智能和自主的方式监控和管理电信网络,导致了基于机器学习的网络管理系统的出现和普及。为了研究这种网络管理系统的行为和评估其性能,必须有一个合适的建模和评估框架。本文提出的工作解决了这一需求,并提出了一种采用贝叶斯网络(BN)模型预测能力的自主NMS。为了实现这一目标,它制定并建模了基于bn的决策支持系统,为下一代网络(NGN)环境下的呼叫接纳控制(CAC)问题提供实时决策。仿真实验验证了所提模型的适用性和实用性。通过考虑包延迟、包丢失、队列大小和阻塞概率等指标,对基于贝叶斯网络的允许控制(BNAC)进行离线建模和在线性能评估,证明了本研究的新颖性和相关性。本文的结论是,在在线CAC功能方面,BNAC方法优于峰值速率CAC。
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引用次数: 2
TeraScaler ELB-an Algorithm of Prediction-Based Elastic Load Balancing Resource Management in Cloud Computing TeraScaler elb——一种基于预测的云计算弹性负载均衡资源管理算法
He-Sheng Wu, Chong-Jun Wang, Junyuan Xie
Load balancing is the core of virtual resource management and scheduling in cloud computing. For network applications, the cost of user would be greatly saved if load balancer could dynamically adjust cluster resources in accordance with the current applied load. The current load balancing products of cloud, such as Amazon's ELB, can be used to manage virtual machines in the cloud. The main drawbacks are still only supporting template-based deployment of new virtual machines, not supporting the trend prediction, failing to gain resources dynamically, and not sufficiently providing the elastic management of resources. Since the virtual machine for load balancing management in cloud computing can be dynamically applied and released, an algorithm of prediction-based elastic load balancing resource management (TeraScaler ELB) is presented to overcome the drawbacks. Experiments have shown that the required number of virtual machines change in compliance with the change of network load, thus TeraScaler ELB is able to dynamically adjust the processing capacity of back-end server cluster with the applied load. Besides it could make full use of the 'use on demand' feature of cloud computing, TeraScaler ELB leads to a better application of prediction based load balancing in cloud computing. It concludes that compared with the traditional elastic resource management algorithm, TeraScaler ELB is more reasonable for providing scalability and high availability.
负载均衡是云计算中虚拟资源管理和调度的核心。对于网络应用,如果负载均衡器能够根据当前应用的负载动态调整集群资源,将大大节省用户成本。当前的云负载平衡产品,例如Amazon的ELB,可以用来管理云中的虚拟机。主要的缺点仍然是只支持基于模板的新虚拟机部署,不支持趋势预测,不能动态获取资源,不能充分提供资源的弹性管理。针对云计算中用于负载均衡管理的虚拟机可以动态应用和释放的特点,提出了一种基于预测的弹性负载均衡资源管理算法(TeraScaler ELB)。实验表明,所需的虚拟机数量会随着网络负载的变化而变化,因此TeraScaler ELB能够根据所应用的负载动态调整后端服务器集群的处理能力。除了可以充分利用云计算的“按需使用”特性外,TeraScaler ELB还可以更好地应用基于预测的负载均衡在云计算中的应用。结果表明,与传统的弹性资源管理算法相比,TeraScaler ELB在提供可扩展性和高可用性方面更为合理。
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引用次数: 27
Data Collection from Isolated Clusters in Wireless Sensor Networks Using Mobile Ferries 使用移动渡轮的无线传感器网络中孤立集群的数据收集
Konstantin Mikhaylov, J. Tervonen
The usage of mobile ferries, under which we understand the nodes that transfer the data between other nodes in process of their movement, provides multiple benefits for Wireless Sensor Networks (WSNs). In the paper, we suggest and evaluate several different approaches and protocols for collecting the data using such ferries from isolated WSN sub networks for different scenarios. We present the results of the simulations that reveal the effects of the WSN density, ferry speed, node sleep policy and maximum hop limitation on the performance and required resources for the tested protocols.
移动渡轮的使用为无线传感器网络(wsn)提供了多种好处,在移动渡轮中,我们了解节点在移动过程中在其他节点之间传输数据。在本文中,我们建议并评估了几种不同的方法和协议,用于在不同场景下使用这些渡轮从孤立的WSN子网络收集数据。仿真结果揭示了WSN密度、传输速度、节点睡眠策略和最大跳数限制对测试协议性能和所需资源的影响。
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引用次数: 9
iMAS: An Intelligent Mobile Advertising System: Development and Implementation 智能移动广告系统:开发与实现
Cain Evans, P. Moore, Andrew M. Thomas, O. Pavlemko
Rapid expansion of wireless technologies has provided a platform to support intelligent systems in the domain of mobile marketing. Utilizing Location Based Services and Global Navigational Satellite Systems provides the capability for transport of real-time, scheduled, location-based advertising to individuals and businesses. This paper introduces location-based marketing and iMAS, a related novel intelligent mobile advertising system. Following an overview of location technologies, the iMAS prototype is presented. Evaluation is discussed as well as the testing strategy, results and open research questions.
无线技术的快速发展为移动营销领域的智能系统提供了支持平台。利用基于位置的服务和全球导航卫星系统为个人和企业提供实时的、预定的、基于位置的广告传输能力。本文介绍了基于位置的营销和与之相关的新型智能移动广告系统iMAS。在概述了定位技术之后,介绍了iMAS原型。讨论了评价、测试策略、结果和开放性研究问题。
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引用次数: 3
期刊
2013 27th International Conference on Advanced Information Networking and Applications Workshops
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