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Mediating between OpenFlow and legacy transport networks for bandwidth on-demand Services 在带宽按需服务的OpenFlow和传统传输网络之间进行中介
Pub Date : 2014-12-29 DOI: 10.1109/APNOMS.2014.6996529
Chuan Yin, Tsan-Chang Kuo, Tai-Yuan Li, Min-Chia Chang, Been-Huang Liao
SDN is wildly studied as it enables new services and enhances existing services for telecom operators. Operators with large-scale optical transport networks might tend to operate newly-built SDN networks and legacy transport networks in parallel and gradually retire legacy devices. This study proposes a mediator approach to fulfill bandwidth adjustment demand with both SDN-ready and legacy devices. We applied the proposed approach to large-scale networks. The experiment result shows that this approach is feasible and brings higher hit ratio.
由于SDN能够为电信运营商提供新的业务并增强现有业务,因此受到了广泛的研究。拥有大规模光传输网络的运营商可能倾向于同时运营新建的SDN网络和传统传输网络,并逐步淘汰传统设备。本研究提出了一种中介方法来满足sdn就绪设备和传统设备的带宽调整需求。我们将提出的方法应用于大规模网络。实验结果表明,该方法是可行的,具有较高的命中率。
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引用次数: 4
Self-optimized cloud RAN based smart zone 基于自优化云RAN的智能区域
Pub Date : 2014-12-29 DOI: 10.1109/APNOMS.2014.6996584
Chih-Hsuan Tang, Yen-Keui Chen Chen, Li-Chun Wang
Due to the exploded demand for mobile traffic and diverse service type, flexible mobile networks with high capacity is drawing lots of research efforts. Distributed large scale (DLS) MIMO has superiority over centralized large scale MIMO and separated small cells due to lower signal loss to users and central control. In this paper, we present a self-optimization method for Cloud RAN based DLS MIMO. The method includes network dimensioning and antenna clustering with adaptability to the migration of hardware/virtualization technology and user over time. Other advantages are easing the process for dimensioning and optimization, requiring fewer antennas, and less demand for controller & baseband computing power due to the characteristic of low complexity.
随着移动通信需求的爆炸式增长和业务类型的多样化,高容量的灵活移动网络正成为人们研究的热点。分布式大规模MIMO (Distributed large scale, DLS)比集中式大规模MIMO和分离小小区MIMO具有较低的用户信号损失和集中控制的优势。本文提出了一种基于云RAN的DLS MIMO自优化方法。该方法包括网络维度和天线聚类,具有适应硬件/虚拟化技术和用户随时间迁移的能力。其他优点是简化了尺寸和优化过程,需要更少的天线,由于低复杂性的特点,对控制器和基带计算能力的需求更少。
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引用次数: 1
A dynamic taint tracking based method to detect sensitive information leaking 基于动态污点跟踪的敏感信息泄漏检测方法
Pub Date : 2014-12-29 DOI: 10.1109/APNOMS.2014.6996578
Weiming Li, Yilin Yan, Hao Tu, Jia Xu
Sensitive information leaking of network servers attacked by malwares or hackers is a serious security risk of Internet. The paper presents a dynamic taint tracking based method to automatically detect sensitive data leaking. The method automatically tags sensitive data as taint data and monitors the propagation of taint data in memory. If the sensitive data is sent by sockets or written into files, the method will alert and record detail leaking context. The whole process does not need modifying the network server source code or relying on particular server programming languages. The research is useful to improve security of all kinds of network. In the experiment part, successfully detecting the OpenSSL Heartbleed attack proves the effectiveness of the method.
受到恶意软件或黑客攻击的网络服务器敏感信息泄露是互联网面临的严重安全风险。提出了一种基于动态污点跟踪的敏感数据泄漏自动检测方法。该方法自动将敏感数据标记为污染数据,并监视污染数据在内存中的传播。如果敏感数据通过套接字发送或写入文件,则该方法将发出警报并记录泄漏上下文的详细信息。整个过程不需要修改网络服务器源代码,也不需要依赖特定的服务器编程语言。该研究对提高各类网络的安全性具有一定的指导意义。在实验部分,成功检测出OpenSSL“心脏出血”攻击,证明了该方法的有效性。
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引用次数: 4
Multi-objective optimization-based traffic engineering for data center networks 基于多目标优化的数据中心网络流量工程
Pub Date : 2014-12-29 DOI: 10.1109/APNOMS.2014.6996604
Taeyeol Jeong, Sin-Seok Seo, J. Chung, Bernard Niyonteze, Jae-Hyoung Yoo, J. W. Hong
In this paper we propose a data center traffic engineering method based on multi-objective optimization. We define a problem of traffic engineering in data center networks as a multi-objective optimization problem with two contrary objectives: load balancing and energy saving. Traffic engineering models for load balancing and energy saving are represented as a linear programming equation. Our simulation results show that the proposed method enables data center operators to change the relative importance between load balancing and energy saving. We also show the traffic engineering results with the predefined upper bound of maximum link utilization and energy cost in response to service requirements and energy OPEX. The contributions of proposed traffic engineering method are (a) to minimize both maximum link utilization and energy cost simultaneously; (b) to minimize maximum link utilization with upper bound of energy cost; and (c) to minimize energy cost with upper bound of maximum link utilization.
本文提出了一种基于多目标优化的数据中心流量工程方法。我们将数据中心网络中的流量工程问题定义为具有两个相反目标的多目标优化问题:负载均衡和节能。将负载均衡与节能的流量工程模型表示为线性规划方程。仿真结果表明,该方法使数据中心运营商能够改变负载均衡与节能之间的相对重要性。根据业务需求和能源运营成本,给出了预定义的最大链路利用率和能源成本上界的流量工程结果。所提出的交通工程方法的贡献是:(a)同时最小化最大链路利用率和能源成本;(b)在能源成本上限的情况下,尽量减少最大的链路利用率;(c)以最大链路利用率上界使能源成本最小化。
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引用次数: 0
The strategy of probe station selection of active probing in WSNs 无线传感器网络中主动探测的探测站选择策略
Pub Date : 2014-12-29 DOI: 10.1109/APNOMS.2014.6996549
Hang Zhou, Yang Yang, Xue-song Qiu, Zhipeng Gao
In the management of WSNs, the mechanism of fault detection and location based on active probing has been widely applied. The main optimal direction of active probing is to maximize the coverage of nodes in the network by sending minimal set of probes from probe stations. Therefore, before probing, selecting optimizational station set to improve reachable rates of probed nodes has significant influence on detection effect of active probing. In this paper, we propose an optimizational strategy of probe station selection (PSS) by Genetic Algorithm (GA) and achieve the improvement of confirmed achievable rates of probed nodes. Meanwhile, lower runtime cost and more reasonable usage of energy are reached.
在无线传感器网络的管理中,基于主动探测的故障检测与定位机制得到了广泛的应用。主动探测的主要最优方向是通过从探测站发送最少的探测集来最大化网络中节点的覆盖。因此,在探测前选择最优的站点集来提高探测节点的可达率对主动探测的探测效果有重要影响。本文提出了一种基于遗传算法的探测站选择优化策略,提高了探测节点的确定可达率。同时,实现了更低的运行成本和更合理的能源利用。
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引用次数: 1
A mobility clustering-based roadside units deployment for VANET 基于机动性集群的路边单元部署
Pub Date : 2014-12-29 DOI: 10.1109/APNOMS.2014.6996595
Chengyuan Wang, Xin Li, Fan Li, Huimei Lu
Vehicular ad hoc network(VANET) is increasingly studied recently due to its promising benefits to the urban life. The roadside unit(RSU) is one of the most important components for VANET. An effective deployment of RSUs will enhance the efficiency of the data delivery in VANET. In this paper, we propose to address the RSU deployment problem by formulating it as a mobility clustering problem. We adopt affinity propagation(AP) algorithm to capture the spatial temporal mobility influence in different time period. The union set of the obtained clustering centers which have the maximum influence to its cluster members is then the solution to RSU deployment. To validate our proposed deployment scheme, we evaluate the performance of the network with the deployed RSUs in terms of delivery ratio, average delay and hop count by adapting the conventional GPSR to VANET as the routing protocol. The simulation results show our proposed approach achieves near optimal solutions with much lower complexity compared to the exhaustive method.
车辆自组织网络(VANET)由于在城市生活中具有广阔的应用前景,近年来受到越来越多的研究。路边单元(RSU)是VANET最重要的部件之一。rsu的有效部署将提高VANET数据传输的效率。在本文中,我们建议通过将RSU部署问题表述为移动性集群问题来解决RSU部署问题。采用亲和传播(affinity propagation, AP)算法捕捉不同时间段的时空迁移影响。得到的对集群成员影响最大的聚类中心的并集即为RSU部署的解决方案。为了验证我们提出的部署方案,我们通过将传统的GPSR作为路由协议应用于VANET,从传输比、平均延迟和跳数方面评估了使用部署的rsu的网络性能。仿真结果表明,与穷举法相比,本文提出的方法能以较低的复杂度获得近似最优解。
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引用次数: 15
Synergy-aware selection mechanism for high quality and sustainability of ubiquitous services 协同意识选择机制为高质量和可持续性无处不在的服务
Pub Date : 2014-12-29 DOI: 10.1109/APNOMS.2014.6996542
Xiyue Mao, Lanlan Rui, Shao-Yong Guo, Xue-song Qiu
In ubiquitous stub environments, it is a critical challenge to select an optimal set of devices to accomplish a graph-based ubiquitous service and execute it continuously. The mobility of devices, the diverse access technologies and underlying path quality have a great influence on the user experience. Thus, we put forward a hierarchical model and a novel selection function considering the synergetic effect between devices. Then we elaborate a Synergy-aware Selection Mechanism (SSM) which includes three modules: service launch, device selection and service maintenance. We design a distributed core algorithm to integrate the devices and a dynamic updating weight method. The simulation results show that Synergy-aware Selection Mechanism can select a set of executive devices to ensure the service quality, continuity and smoothness. It improves the performance in the perceived experience and the number of service reelections.
在泛在存根环境中,选择一组最优的设备来完成基于图的泛在服务并连续执行它是一个关键的挑战。设备的移动性、接入技术的多样性和底层路径质量对用户体验有很大影响。因此,我们提出了考虑设备间协同效应的分层模型和新的选择函数。然后详细阐述了协同感知选择机制(SSM),该机制包括服务启动、设备选择和服务维护三个模块。我们设计了一种分布式核心算法来集成设备,并设计了一种动态更新权值的方法。仿真结果表明,协同感知选择机制可以选择一组执行设备,以保证服务质量、连续性和平滑性。它提高了感知体验和服务重选次数方面的性能。
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引用次数: 0
Assessing the quality of experience of HTTP video streaming considering the effects of pause position 考虑暂停位置的影响,评估HTTP视频流的体验质量
Pub Date : 2014-12-29 DOI: 10.1109/APNOMS.2014.6996568
Ruiyi Wang, Yang Geng, Yifan Ding, Yang Yang, Wenjing Li
In order to assess the quality of experience (QoE) of HTTP video streaming, the model of three levels of quality of service (QoS): network QoS, application QoS and QoE, is employed in this paper. We mainly study the effects of pause position, and therefore propose two new application performance metrics: location of each pause and time interval of pauses. We first focus on the buffer behaviors of the video player, and correlate the application QoS with the network QoS, based on the analytical model and mathematical model. Then the subjective tests and experiments are carried out to assess how application performance metrics affect the QoE, and the Back Propagation Neural Net (BPNN) is established to map the application QoS to the QoE. This paper reveals that the pauses in the front part of the video, as well as the shorter time interval of pauses, have a higher negative effect on QoE of HTTP video streaming.
为了评估HTTP视频流的体验质量(QoE),本文采用了三层服务质量(QoS)模型:网络QoS、应用QoS和QoE。我们主要研究了暂停位置的影响,因此提出了两个新的应用程序性能指标:每次暂停的位置和暂停的时间间隔。我们首先关注视频播放器的缓冲行为,并基于解析模型和数学模型将应用QoS与网络QoS关联起来。然后进行主观测试和实验,评估应用性能指标对QoE的影响,并建立反向传播神经网络(BPNN)将应用QoS映射到QoE。本文揭示了视频前段的暂停,以及更短的暂停时间间隔,对HTTP视频流的QoE有更高的负面影响。
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引用次数: 9
Distributed object storage toward storage and usage of packet data in a high-speed network 分布式对象存储面向高速网络中分组数据的存储和使用
Pub Date : 2014-12-29 DOI: 10.1109/APNOMS.2014.6996556
Masahisa Tamura, Ken Iizawa, M. Maeda, Jun Kato, Tatsuo Kumano, Y. Nomura, T. Ozawa
As the amount of data flowing in the network increases and as the number of applications having complex traffic patterns increases as well, packet data analysis is becoming all the more important for improving the quality of communications and facilitating troubleshooting. In particular, demand for the storage and analysis of individual items of packet data is increasing in addition to analysis based on statistical information to enable a detailed diagnosis of phenomena that have occurred on the network and at terminals. This paper proposes distributed object storage that can achieve both high-throughput storage of packet data and high-speed session searching. Specifically, we propose and evaluate a system for storing small-size data such as packet data with high throughput while deleting old data and conducting searches, and compare the storage performance of the proposed system with that of other distributed storage systems, and present the results of evaluating search performance for typical search patterns.
随着网络中数据流量的增加以及具有复杂流量模式的应用程序数量的增加,分组数据分析对于提高通信质量和方便故障排除变得越来越重要。特别是,除了根据统计资料进行分析以便能够详细诊断在网络和终端上发生的现象外,对分组数据的个别项目的存储和分析的需求正在增加。本文提出了一种既能实现数据包数据的高吞吐量存储又能实现高速会话搜索的分布式对象存储方法。具体而言,我们提出并评估了一种用于存储小数据(如高吞吐量的数据包数据),同时删除旧数据并进行搜索的系统,并将所提出系统的存储性能与其他分布式存储系统的存储性能进行了比较,并给出了典型搜索模式下的搜索性能评估结果。
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引用次数: 2
A vehicle speed estimation method based on using voice call signals 一种基于语音呼叫信号的车速估计方法
Pub Date : 2014-12-29 DOI: 10.1109/APNOMS.2014.6996104
Chi-Hua Chen, Ta-Sheng Kuan, Kuen-Rong Lo
The real-time traffic information estimation is an important issue for Intelligent Transportation System (ITS). Compared to traditional methods, the traffic information estimations from cellular network data are readily available, more cost-effective, and easier to deploy and maintain. In this paper, a vehicle speed estimation method is proposed to analyze the voice call signals (i.e., Call Arrival (CA) and Handover (HO)) from cellular networks. Some numerical models are proposed to estimate traffic flow according to HOs and estimate traffic density according to CAs. Then the estimated traffic flow and estimated traffic density are adopted to calculate the estimated vehicle speed. The experimental results show the accuracy of proposed vehicle speed estimation method is 89.75%. Therefore, this method is suitable to be adopted to obtain real-time traffic information for road user.
实时交通信息估计是智能交通系统(ITS)的一个重要问题。与传统方法相比,基于蜂窝网络数据的交通信息估计具有易于获取、成本效益高、易于部署和维护等优点。本文提出了一种用于分析蜂窝网络语音呼叫信号(即呼叫到达(CA)和切换(HO))的车速估计方法。提出了根据HOs估计交通流量和根据ca估计交通密度的数值模型。然后用估计的交通流量和估计的交通密度计算估计的车速。实验结果表明,该方法的车速估计准确率为89.75%。因此,该方法适合用于获取道路使用者的实时交通信息。
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引用次数: 2
期刊
The 16th Asia-Pacific Network Operations and Management Symposium
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