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

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Adkintun: SLA Monitoring of ISP Broadband Offerings Adkintun: ISP宽带产品的SLA监控
Javier Bustos-Jiménez, Victor Ramiro, F. Lalanne, T. Barros
Broadband Internet access has become a regular commodity on households around the world. For this reason, initiatives for characterization and monitoring of service offerings by Internet Service Providers (ISPs), by governments, researchers and independent entities have grown in popularity in the last few years. In this context, we present Adkintun, the Chilean initiative commanded by the Transports and Telecommunications Ministry (MTT) of Chile to NIC Chile Research Labs, in order to characterize the growing broadband Internet offer in that country providing an independent tool for consumers to monitor the effective quality of their provided service, and perform informed choices among chilean internet providers. In this article, we present the design, architecture and main results of Adkintun after a year of monitoring, measuring and characterizing chilean internet.
宽带互联网接入已成为世界各地家庭的常规商品。由于这个原因,在过去几年中,政府、研究人员和独立实体对互联网服务提供商(isp)提供的服务进行表征和监控的倡议越来越受欢迎。在此背景下,我们向NIC智利研究实验室介绍由智利运输和电信部(MTT)指挥的智利倡议Adkintun,以描述该国不断增长的宽带互联网服务,为消费者提供一个独立的工具来监测所提供服务的有效质量,并在智利互联网提供商中进行知情选择。在本文中,我们介绍了经过一年的监测、测量和表征智利互联网的Adkintun的设计、结构和主要结果。
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引用次数: 4
Programming Ecological Niche Modeling Workflows in the Cloud 在云中编程生态位建模工作流
D. Lezzi, Roger Rafanell, E. Torres, R. Giovanni, I. Blanquer, Rosa M. Badia
In the last decades biology scientists have relied on their own resources and tools to run the experiments and store the results of the analysis. However, the explosion of big data and the growing availability of computational methods find an obstacle in the lack of computational and storage resources. Cloud computing platforms are emerging as potential solution to overcome these limitations, but adaptation of the applications to enable scientific users to benefit from resources acquired on demand is a complex process requiring multidisciplinary expertise. The EUBrazilOpenBio initiative is implementing an e-Infrastructure that provides biodiversity community with a rich set of computational and data resources exploiting existing cloud technologies from EU and Brazil. This paper presents the implementation of one of the two use cases selected, the environmental niche modeling by means of implementing such workflow through the COMPSs framework and its deployment on the EUBrazil OpenBio platform. The proposed approach has been evaluated on a Cloud test bed managed by the VENUS-C middleware.
在过去的几十年里,生物学家依靠自己的资源和工具来进行实验和存储分析结果。然而,大数据的爆炸式增长和计算方法的日益可用性发现了一个障碍,即缺乏计算和存储资源。云计算平台正在成为克服这些限制的潜在解决方案,但调整应用程序以使科学用户能够从按需获取的资源中受益是一个复杂的过程,需要多学科专业知识。EUBrazilOpenBio计划正在实施一个电子基础设施,利用欧盟和巴西现有的云技术,为生物多样性社区提供丰富的计算和数据资源。本文介绍了所选择的两个用例之一的实现,即通过COMPSs框架及其在EUBrazil OpenBio平台上的部署实现这种工作流的环境生态位建模。该方法已经在一个由VENUS-C中间件管理的云测试平台上进行了评估。
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引用次数: 11
Routing Protocol Based on the Position, Velocity, and Direction of the Nodes 基于节点位置、速度和方向的路由协议
G. Andrade, L. Lima, A. Calsavara, C. Maziero
We call "Violent" (from portuguese: velocity and direction), a context-aware routing protocol that aims at obtaining and processing environment data such as velocity and direction of nodes as they establish contacts with each other in delay-tolerant networks (DTNs). This context information is used by the proposed algorithm - along with the node's position and time of the last encounter with other nodes - to estimate the position of the recipients of messages. The methodology implemented by VeloSent enables to identify more precisely which of the current neighboring nodes is moving towards the destination node, thus improving the delivery rate. The results obtained from simulation using different mobility models show that VeloSent required a lower number of transmissions and message hops when compared to other well-known routing algorithms, thus making it a good candidate for use in environments with scarce resources.
我们称之为“暴力”(来自葡萄牙语:速度和方向),这是一种上下文感知路由协议,旨在获取和处理环境数据,如节点的速度和方向,因为它们在容忍延迟网络(DTNs)中相互建立联系。所提出的算法使用此上下文信息(连同节点的位置和最后一次与其他节点相遇的时间)来估计消息接收者的位置。VeloSent实现的方法能够更精确地识别当前哪个相邻节点正在向目标节点移动,从而提高交付率。使用不同移动性模型的仿真结果表明,与其他已知的路由算法相比,VeloSent需要更少的传输次数和消息跳数,因此使其成为在资源稀缺环境中使用的理想选择。
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引用次数: 11
Multipath Video Streaming Based on Hierarchical Routing Management 基于分层路由管理的多路径视频流
T. Volkert, Manuel Osdoba, A. Mitschele-Thiel, M. Becke
In this paper, we propose a new approach to enhance today's hop-by-hop routing. The main goal of our work is to improve the efficiency of network usage and to support transmission requirements (TR) provided by applications. In the paper, we focus on non-functional requirements such as a desired upper bound for the end-to-end delay and a required data rate. Both are encoded as meta data in each data packet. Furthermore, we describe how these embedded (in-band) TRs can be used for QoS-oriented routing, implemented on each intermediate router. This directs packets along routes, providing only the network resources actually needed. In order to support these routing decisions based on TRs, we utilize data from an additional control plane, which provides QoS-related topology data from the network. For this purpose, we apply our idea of "Hierarchical Routing Management" (HRM). It implements a signaling of QoS-related route capabilities. In order to provide a scalable system, we apply hierarchical addressing and topology aggregation, resulting in fewer details in higher hierarchy levels. In detail, we describe how SCTP can be used to encode and transport the TRs for a multipath video-streaming scenario. Moreover, we explain the HRM internal signaling processes, which are required to create and use the HRM system. Compared to current IP routing, this allows for a better network efficiency and QoE at receiver side. Nevertheless, the HRM approach remains backward compatible to current application and router implementations. The paper shows that these benefits can be achieved at an acceptable overhead for packet processing.
在本文中,我们提出了一种新的方法来改进目前的逐跳路由。我们工作的主要目标是提高网络使用的效率,并支持应用程序提供的传输需求(TR)。在本文中,我们关注非功能需求,如端到端延迟的期望上界和所需的数据速率。两者都被编码为每个数据包中的元数据。此外,我们还描述了如何将这些嵌入式(带内)tr用于在每个中间路由器上实现的面向qos的路由。这将沿着路由引导数据包,只提供实际需要的网络资源。为了支持这些基于tr的路由决策,我们利用了来自另一个控制平面的数据,该控制平面提供了来自网络的qos相关拓扑数据。为此,我们应用“分层路由管理”(HRM)的思想。它实现了与qos相关的路由能力的信令。为了提供一个可扩展的系统,我们应用了分层寻址和拓扑聚合,从而在较高的层次结构级别中减少了细节。详细地,我们描述了如何使用SCTP对多路径视频流场景的tr进行编码和传输。此外,我们还解释了创建和使用人力资源管理系统所需的人力资源管理内部信号过程。与当前的IP路由相比,这允许在接收端有更好的网络效率和QoE。然而,HRM方法仍然向后兼容当前的应用程序和路由器实现。本文表明,这些好处可以在可接受的数据包处理开销下实现。
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引用次数: 12
Mobility-Sensitive Power Control for MBSFN Cellular Networks MBSFN蜂窝网络的移动敏感功率控制
K. Asimakis, Christos Bouras, V. Kokkinos, Andreas Papazois
Cellular networks' Multimedia Broadcast/Multicast Service (MBMS) over a Single Frequency Network (MBSFN) allows broadcasting cell signals to constructively interfere and users to take advantage of increased bit rates compared to other broadcasting technologies. In this paper, we present our work on the optimization of the power control for future cellular networks that employ MBSFN transmission scheme. We propose a novel simulator and optimizer that can minimize the transmission power of individual cells taking into account the changing positions of users. In order to read descriptions of the various scenarios, the simulator uses the eXtendable Temporal Network Description Language (XTNDL), a language that is defined in this paper. The optimizer's engine can be used in conjunction with the simulator or can be modified to read real time measurements from a real network.
蜂窝网络在单频网络(MBSFN)上的多媒体广播/多播服务(MBMS)允许广播蜂窝信号产生建设性干扰,与其他广播技术相比,用户可以利用增加的比特率。在本文中,我们介绍了我们的工作在优化功率控制的未来蜂窝网络采用MBSFN传输方案。我们提出了一种新的模拟器和优化器,它可以在考虑用户位置变化的情况下最大限度地降低单个小区的传输功率。为了读取各种场景的描述,模拟器使用可扩展时态网络描述语言(XTNDL),这是一种本文定义的语言。优化器的引擎可以与模拟器一起使用,或者可以修改以读取来自真实网络的实时测量值。
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引用次数: 1
Performance Evaluation of Alternative Network Architectures for Sensor-Satellite Integrated Networks 传感器-卫星集成网络中可选网络架构的性能评估
Suraj Verma, P. Pillai, Yim-Fun Hu
The last decade has seen an exponential rise in the use of wireless sensor networks (WSNs) in various applications. While these have been primarily used on their own, researchers are now looking into ways of integrating these WSNs with other existing communication technologies. One such network is the satellite network which provides significant advantage in providing communication access to remote locations due to their inherent large coverage areas. Combining WSNs and satellite will enable us to perform efficient remotely monitoring in areas where terrestrial networks may not be present. However in such a scenario, the placement of sensor nodes is crucial in order to ensure efficient routing and energy-efficiency. This paper presents four network architectures for sensor-satellite hybrid networks, sensor-satellite direct communication, connections via a gateway node employing random node layout, grid-based node layout and cluster-based node layout with data aggregation. These architectures were simulated using network simulator 2 (ns-2) and then their packet loss rate, average end-to-end packet delay, and overall energy consumption were compared. The paper concludes by proposing a suitable network topology for environmental monitoring applications.
在过去的十年中,无线传感器网络(wsn)在各种应用中的使用呈指数级增长。虽然这些无线传感器网络主要是单独使用的,但研究人员现在正在寻找将这些无线传感器网络与其他现有通信技术集成的方法。其中一个这样的网络是卫星网络,由于其固有的大覆盖区域,它在向偏远地点提供通信访问方面具有显著的优势。无线传感器网络和卫星的结合将使我们能够在地面网络可能不存在的地区进行有效的远程监控。然而,在这种情况下,传感器节点的放置是至关重要的,以确保有效的路由和能源效率。本文提出了传感器-卫星混合网络、传感器-卫星直接通信、采用随机节点布局的网关节点连接、基于网格的节点布局和基于数据聚合的集群节点布局的四种网络结构。利用网络模拟器2 (ns-2)对这些架构进行了仿真,并比较了它们的丢包率、端到端平均数据包延迟和总能耗。本文最后提出了一种适合环境监测应用的网络拓扑结构。
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引用次数: 12
A Framework for Semantic Interoperability over the Cloud 云上语义互操作性的框架
F. Amato, A. Mazzeo, V. Moscato, A. Picariello
Semantic Interoperability is one of the most important open challenges in the Knowledge Management field. In this work, we propose a framework for making easier information exchanging operations among heterogeneous information sources, over the Cloud. Exploiting the Semantic Web technologies, the framework has the objective of allowing semantic interoperability among distributed software agents preserving not only semantics of transmitted messages, but also the subjectivity of agent's world vision in the communication process. The proposed system, in fact, will help users in the digital documents exchanging activities by extracting the related relevant information and coding their informative contents in a shape capable of preserving the original semantics, also in the case of communications agents using different or incompatible vocabularies. The framework is a an evolution of semantic interoperable methodologies towards cloud computer technologies, thus guaranteeing several advantages in terms of usability, scalability and fault tolerance. In particular, we implemented a prototype that provides interoperability functionalities in the E-Health domain, managing information coming from heterogeneous sources.
语义互操作性是知识管理领域最重要的开放性挑战之一。在这项工作中,我们提出了一个框架,使云上异构信息源之间的信息交换操作更容易。该框架利用语义Web技术,旨在实现分布式软件代理之间的语义互操作性,既保留了传输消息的语义,又保留了代理在通信过程中世界视觉的主观性。事实上,在通信代理使用不同或不兼容的词汇表的情况下,所提出的系统将通过提取相关的相关信息并以能够保留原始语义的形式对其信息内容进行编码,从而帮助用户进行数字文档交换活动。该框架是语义互操作方法向云计算技术的发展,从而保证了在可用性、可伸缩性和容错性方面的若干优势。特别是,我们实现了一个原型,该原型在电子健康领域提供互操作性功能,管理来自异构来源的信息。
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引用次数: 41
Acceleration of Communication-Aware Task Mapping Techniques through GPU Computing 利用GPU计算加速感知通信的任务映射技术
Javier Reyes, J. Orduña, G. Vigueras, Rafael Tornero
The era of distributed computing, where applications are executed on platforms like clusters, grids and/or clouds of computers, have shown the need for taking into account the communications that take place on distributed computer architectures when executing applications. In that environment, different communication-aware mapping techniques were proposed for improving the system performance, both for off-chip and for on-chip networks. Some of these proposals are based on heuristic search for finding pseudo-optimal assignments of a given population of tasks and processing elements. The technology improvement has allowed a significant increase in the problem size, multiplying the number of processor cores in each chip. Therefore, the proposals based on heuristic search must be accelerated in order to search in larger exploration domains within the same execution times. In this paper, we propose a comparative study of the parallel version of the local search method for communication-aware task mapping techniques. Unlike other comparative studies of heuristic methods implemented on GPUs, we compare the performance provided by the parallel version for GPUs with the performance provided by a MPI parallel version in terms of execution times and fitness values provided. The MPI version was executed on a cluster optimized for MPI applications. Also, we have considered a GPU with Fermi architecture and we have mapped the local search algorithm onto the GPU in order to improve the performance. The results show that the parallel implementation on a single GPU provides similar fitness function values than the MPI implementation on the cluster. However, the execution times required by the GPU implementation are significantly lower than the ones required by the MPI implementation, and these differences increase as so does size of the parallel system.
在分布式计算时代,应用程序在诸如集群、网格和/或计算机云这样的平台上执行,这表明在执行应用程序时需要考虑发生在分布式计算机架构上的通信。在这种环境下,提出了不同的通信感知映射技术,以提高片外和片内网络的系统性能。其中一些建议是基于启发式搜索来寻找给定任务和处理元素的伪最优分配。技术的改进使得问题的规模显著增加,每个芯片上的处理器内核数量成倍增加。因此,基于启发式搜索的建议必须加快速度,以便在相同的执行时间内搜索更大的探索域。在本文中,我们提出了一个比较研究的并行版本的局部搜索方法的通信感知任务映射技术。与其他在gpu上实现的启发式方法的比较研究不同,我们比较了gpu的并行版本与MPI并行版本在执行时间和提供的适应度值方面提供的性能。MPI版本在针对MPI应用程序优化的集群上执行。此外,我们还考虑了一个具有费米架构的GPU,并将局部搜索算法映射到GPU上,以提高性能。结果表明,在单个GPU上的并行实现比在集群上的MPI实现提供相似的适应度函数值。然而,GPU实现所需的执行时间明显低于MPI实现所需的执行时间,并且这些差异随着并行系统的大小而增加。
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引用次数: 1
Impact of IEEE 802.11 PHY/MAC Strategies on Routing Performance in Wireless Mesh Networks IEEE 802.11 PHY/MAC策略对无线Mesh网络路由性能的影响
Chiraz Houaidia, H. Idoudi, A. Bossche, T. Val, L. Saïdane
Current routing mechanisms proposed for adhocnetworks are still feasibly applied in Wireless Mesh Networks given their similarities. Many researchers have conducted numerous simulations for comparing the performances of these routing protocols under various conditions and constraints. Most made comparisons are not aware of PHY/MAC layers and their impact on routing performances. In this paper we study through simulations the impact of PHY/MAC protocols on higher layers. The considered protocols include three propagation models, i.e., Free Space, TwoRayGround and Shadowing, three different PHY/MAC protocols specified IEEE 802.11 standards namely, 802.11b, 802.11s and 802.11n, and finally three routing protocols, i.e., AODV, OLSR and HWMP. In a comparative way, we investigate the effectiveness of these protocols when they coexist on a wireless mesh network environment. Our results show that the routing strategy can significantly impact the network performance only if it is strongly linked to the characteristics of the lower layers.
目前针对adhocnetwork提出的路由机制在无线Mesh网络中仍具有一定的相似性。许多研究人员已经进行了大量的仿真来比较这些路由协议在不同条件和约束下的性能。大多数比较都没有意识到PHY/MAC层及其对路由性能的影响。本文通过仿真研究了物理层/MAC协议对更高层的影响。考虑的协议包括三种传播模型,即Free Space, TwoRayGround和Shadowing,三种不同的PHY/MAC协议指定IEEE 802.11标准,即802.11b, 802.11s和802.11n,最后三种路由协议,即AODV, OLSR和HWMP。通过比较,我们研究了这些协议在无线网状网络环境下共存时的有效性。我们的研究结果表明,路由策略只有在与较低层的特征紧密相关时才能显著影响网络性能。
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引用次数: 11
A Multi-GPU Framework for In-Memory Text Data Analytics 内存文本数据分析的多gpu框架
P. K. Chong, E. Karuppiah, K. Yong
Current application of GPU processors for parallel computing tasks show excellent results in terms of speed-ups compared to CPU processors. However, there is no existing framework that enables automatic distribution of data and processing across multiple GPUs, modularity of kernel design, and efficient co-usage of CPU and GPU processors. All these elements are necessary conditions to enable users to easily perform 'Big Data' analysis, and to create their own modules for their desired processing functionality. We propose a framework for in-memory 'Big Text Data' analytics that provides mechanisms for automatic data segmentation, distribution, execution, and result retrieval across multiple cards (CPU, GPU & FPGA) and machines, and a modular design for easy addition of new GPU kernels. The architecture and components of the framework such as multi-card data distribution and execution, data structures for efficient memory access, algorithms for parallel GPU computation, and result retrieval are described in detail, and some of the kernels in the framework are evaluated using Big Data versus multi-core CPUs to demonstrate the performance and feasibility of using it for 'Big Data' analytics, providing alternative and cheaper HPC solution.
与CPU处理器相比,当前GPU处理器在并行计算任务中的应用在加速方面表现出优异的效果。然而,目前还没有一个框架能够实现跨多个GPU的数据和处理的自动分布、内核设计的模块化以及CPU和GPU处理器的有效协同使用。所有这些元素都是使用户能够轻松执行“大数据”分析的必要条件,并为他们所需的处理功能创建自己的模块。我们提出了一个内存“大文本数据”分析框架,该框架提供了跨多个卡(CPU, GPU和FPGA)和机器的自动数据分割,分发,执行和结果检索机制,以及易于添加新GPU内核的模块化设计。详细描述了框架的架构和组件,如多卡数据分发和执行、高效内存访问的数据结构、并行GPU计算算法和结果检索,并使用大数据和多核cpu对框架中的一些内核进行了评估,以展示将其用于“大数据”分析的性能和可行性,提供替代和更便宜的HPC解决方案。
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引用次数: 7
期刊
2013 27th International Conference on Advanced Information Networking and Applications Workshops
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