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2017 IEEE Symposium on Computers and Communications (ISCC)最新文献

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Dynamic role assignment in Software-Defined Wireless Networks 软件定义无线网络中的动态角色分配
Pub Date : 2017-07-01 DOI: 10.1109/ISCC.2017.8024619
Pablo Graubner, Markus Sommer, M. Hollick, Bernd Freisleben
Software-defined networking paradigms have found their way into wireless edge networks, allowing network slicing, mobility management, and resource allocation. This paper presents dynamic role assignment as a novel approach to software-defined network topology management for wireless edge devices, such as laptops, tablets and smartphones. It combines the centralized control of wireless Network Interface Controller (NIC) modes with Network Function Virtualization (NFV) to integrate network topology transitions as well as network service and application service placement within a single mechanism. Our proposal is evaluated with respect to latency, bandwidth, and power consumption of the edge nodes. The experimental results show significant differences in both bandwidth (up to 18%) and power consumption (up to 15%) for playing different roles, and when using (a) a web proxy and (b) an intrusion prevention system as examples of application services.
软件定义网络范例已经进入无线边缘网络,允许网络切片、移动性管理和资源分配。本文将动态角色分配作为一种新颖的方法,用于无线边缘设备(如笔记本电脑、平板电脑和智能手机)的软件定义网络拓扑管理。它将无线网络接口控制器(NIC)模式的集中控制与网络功能虚拟化(NFV)相结合,将网络拓扑转换以及网络服务和应用服务放置集成在单一机制中。我们的建议是评估关于延迟,带宽和功耗的边缘节点。实验结果表明,当使用(a) web代理和(b)入侵防御系统作为应用服务示例时,扮演不同角色的带宽(高达18%)和功耗(高达15%)存在显著差异。
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引用次数: 3
Compressed incremental checkpointing for efficient replicated key-value stores 压缩增量检查点,用于高效复制键值存储
Pub Date : 2017-07-01 DOI: 10.1109/ISCC.2017.8024508
Berkin Guler, Öznur Özkasap
The prominent cloud services rely on geographically distributed nodes running replication and other fault-tolerance mechanisms so as to provide flawless availability and dependability. In this paper, we address the communication cost of the well known primary-backup replication protocol, and propose compressed periodic incremental checkpoint algorithms to achieve improved throughput. We set up a replicated key-value store on geographically distributed nodes of the PlanetLab platform, and developed compressed incremental checkpointing algorithms to support primary-backup replication. By considering performance metrics of interest including blocking time, checkpointing time, compression ratio, compression/ decompression times, we conducted a comprehensive analysis. We used the well-known benchmarking tool YCSB and established different sample workloads to test where each workload represents diverse plots. Our findings indicate that Zstd is the most competent compression method under all scenarios and through comparing with an uncompressed approach we point out that compressing the communication data disseminated from the primary replica coupled with the periodic incremental checkpointing algorithm not only decreases the average blocking time up to 5% but it also improves the overall system throughput by 4% compared to the no compression case.
杰出的云服务依赖于地理上分布的节点来运行复制和其他容错机制,从而提供完美的可用性和可靠性。在本文中,我们解决了众所周知的主备份复制协议的通信成本,并提出了压缩周期性增量检查点算法来提高吞吐量。我们在PlanetLab平台的地理分布节点上建立了一个复制的键值存储,并开发了压缩增量检查点算法来支持主备份复制。通过考虑感兴趣的性能指标,包括阻塞时间、检查点时间、压缩比、压缩/解压时间,我们进行了全面的分析。我们使用了著名的基准测试工具YCSB,并建立了不同的样本工作负载进行测试,其中每个工作负载代表不同的图。我们的研究结果表明,Zstd是所有场景下最有效的压缩方法,通过与未压缩方法的比较,我们指出压缩从主副本传播的通信数据并结合周期性增量检查点算法不仅减少了平均阻塞时间高达5%,而且与未压缩情况相比,它还提高了4%的整体系统吞吐量。
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引用次数: 4
On the impact of traffic rerouting and set-up delay tolerance on connection provisioning in dynamic WDM transparent networks with QoT constraints 基于QoT约束的动态WDM透明网络中流量重路由和设置时延容限对连接供应的影响
Pub Date : 2017-07-01 DOI: 10.1109/ISCC.2017.8024552
N. Amdouni, T. Aguili
Taking into account quality of transmission (QoT) constraints, wavelength continuity constraint and wavelength integrity constraint when solving the Routing and Wavelength Assignment (RWA) problem in Wavelength-Division Multiplexing (WDM) transparent networks leads to inefficient utilization of network resources and results in higher rejection ratio. This is especially severe when dynamic traffic is considered. In this paper, we investigate the problem of improving network resources utilization efficiency by applying rerouting and set-up delay tolerance, a metric of Service Level Agreement (SLA) that has been exploited in literature for improvement in network performances, taking into account the aforementioned constraints. Moreover, we investigate further improvement in the duration of the service disruption period due to rerouting. As far as we know, this is the first study that exploits traffic rerouting for network with QoT constraints provisioned with set-up delay tolerance to get further improvement in network performances. The performances of the proposed algorithms are evaluated and discussed through extensive numerical experiments. Significant improvements are demonstrated, either in terms of rejection ratio or in terms of service disruption period, in comparison with previously proposed algorithms.
在解决波分复用(wavelength - division Multiplexing, WDM)透明网络中的路由与波长分配(Routing and wavelength Assignment, RWA)问题时,由于考虑传输质量(QoT)约束、波长连续性约束和波长完整性约束,导致网络资源利用率低下,拒绝率较高。当考虑动态流量时,这种情况尤其严重。在本文中,考虑到上述约束,我们研究了通过应用重路由和设置延迟容限(服务水平协议(SLA)的度量)来提高网络资源利用效率的问题,该度量已在文献中用于提高网络性能。此外,我们还调查了由于重新路由而导致的服务中断时间的进一步改善。据我们所知,这是第一个利用具有设置延迟容限的QoT约束的网络的流量重路由来进一步提高网络性能的研究。通过大量的数值实验对所提出算法的性能进行了评价和讨论。与先前提出的算法相比,无论是在拒绝率方面还是在服务中断时间方面,都证明了显著的改进。
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引用次数: 1
Service availability analysis of a multimodal travel planner using Stochastic Automata 基于随机自动机的多模式出行计划服务可用性分析
Pub Date : 2017-07-01 DOI: 10.1109/ISCC.2017.8024520
S. Evangelatos, Zannis Kalampoukis, Ioanna Fergadioti, Stelios Christofi, B. Karakostas, Y. Zorgios
In this paper, we address the problem of evaluating the aggregated services offered to the user through a multimodal travel planner. The effective design of a multimodal travel planner is considered a complex task since it requires the identification of the best possible route that combines segments of different transport modes. We describe a novel architecture and its respective connectivity infrastructure that incorporates all available travel-related services through the integration of several application programming interfaces (APIs) and we analyze its robustness regarding unplanned service interruptions using well-known mathematical tools such as the Stochastic Automata Networks. Additionally, we demonstrate the system's availability and effectiveness through realistic measurements obtained from the testing environments of various Global Distribution Systems (GDSs) and transport operators that result in the enhancement of the required Quality of Service (QoS) and Experience (QoE) for such intelligent systems.
在本文中,我们解决了通过多模式旅行计划器评估提供给用户的聚合服务的问题。多式联运计划的有效设计被认为是一项复杂的任务,因为它需要识别出结合不同运输方式的最佳可能路线。我们描述了一种新颖的体系结构及其各自的连接基础设施,通过几个应用程序编程接口(api)的集成集成了所有可用的旅行相关服务,并使用众所周知的数学工具(如随机自动机网络)分析了其针对计划外服务中断的鲁棒性。此外,我们通过从各种全球分销系统(gds)和运输运营商的测试环境中获得的实际测量结果,证明了系统的可用性和有效性,从而提高了此类智能系统所需的服务质量(QoS)和体验(QoE)。
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引用次数: 1
Fault tolerant protocol for data collecting in wireless sensor networks 无线传感器网络数据采集容错协议
Pub Date : 2017-07-01 DOI: 10.1109/ISCC.2017.8024575
J. Cichon, Maciej Gebala, M. Zawada
We consider the problem of reliable and minimal delay transmission in a wireless sensor network that uses time division in order to schedule its node-to-node communication in time-bounded manner. We propose an algorithm that uses the message acknowledgment method and solves this problem. We show bounds for its expected value of message delivery time. Moreover, our algorithm is based on simple state machine that do not require much computational power, thus could be executed on very weak devices.
本文研究了无线传感器网络中可靠和最小延迟传输的问题,该网络使用时间划分来以有时间的方式调度其节点到节点的通信。我们提出了一种使用消息确认方法的算法来解决这个问题。我们给出了它的消息传递时间期望值的界限。此外,我们的算法基于简单的状态机,不需要太多的计算能力,因此可以在非常弱的设备上执行。
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引用次数: 5
Reconfigurable underwater embedded systems architectures 可重构水下嵌入式系统架构
Pub Date : 2017-07-01 DOI: 10.1109/ISCC.2017.8024715
Hussain Albarakati, A. Amamra, Raafat S. Elfouly, R. Ammar
Underwater sensor networks are bounded by data sensing, transmitting, and forwarding limitations. The transmitting of large volumes of data can require a large amount of time and power. This has led researchers to focus on the new technology of underwater computing systems, in which information is extracted under the water using embedded processors via data mining and/or data compression. In this paper, a set of underwater embedded system (UWES) architectures is developed that can handle different network configurations. These developed architectures have a single processing node and are assumed to be homogenous. An architecture is selected to match a given set of requirements including data rate, processing node capabilities, gathering nodes capabilities, and water depth. Analytical models are developed for each type of architecture, which estimate both end to end delay and power consumption. Simulations that verify the results and evaluate the performance of the architectures are also provided.
水下传感器网络受到数据感知、传输和转发的限制。传输大量数据可能需要大量的时间和功率。这使得研究人员将注意力集中在水下计算系统的新技术上,该系统使用嵌入式处理器通过数据挖掘和/或数据压缩在水下提取信息。本文开发了一套能够处理不同网络配置的水下嵌入式系统体系结构。这些开发的体系结构具有单个处理节点,并且假定是同构的。选择一个体系结构来匹配一组给定的需求,包括数据速率、处理节点能力、收集节点能力和水深。为每种类型的体系结构开发了分析模型,估计了端到端延迟和功耗。还提供了验证结果和评估体系结构性能的仿真。
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引用次数: 12
SuPRANO: On the localization of connected vehicles in hostile environments: A Semi-suPervised manifold leaRning technique 恶劣环境下网联车辆的定位:半监督流形学习技术
Pub Date : 2017-07-01 DOI: 10.1109/ISCC.2017.8024667
Ahmed Soua, R. Soua
In wireless hostile environments such as tunnels, tall buildings, undergrounds and dense vegetation where Global Positioning System (GPS) signals can be unavailable, vehicles are prevented from exchanging accurate positions. Hence critical information may be lost or misled. To overcome these limitations, this paper proposes an innovative technique for localization estimation called SuPRANO, a Semi-suPervised manifold leaRning based locAlization algorithm for vehicular NetwOrks. The key innovation in our technique is leverage the theory of semi-supervised learning. Specifically, SuPRANO employs a certain number of well localized vehicles, called leading vehicles, that collect signal measurements from non-localized vehicles (non leading vehicles) to estimate the position of these latter. The resulting technique is naturally realistic and performs very well.
在隧道、高层建筑、地下和茂密植被等无线恶劣环境中,全球定位系统(GPS)信号可能无法获得,车辆无法交换准确位置。因此,关键信息可能会丢失或被误导。为了克服这些限制,本文提出了一种创新的定位估计技术,称为SuPRANO,一种基于半监督流形学习的车辆网络定位算法。我们技术的关键创新是利用半监督学习理论。具体来说,SuPRANO使用一定数量的定位良好的车辆,称为先导车辆,收集非定位车辆(非先导车辆)的信号测量值,以估计后者的位置。由此产生的技术自然是真实的,并且性能非常好。
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引用次数: 1
Virtual Tether Search: A self-constraining search algorithm for swarms in an open ocean 虚拟绳系搜索:一个自约束搜索算法的群体在开放的海洋
Pub Date : 2017-07-01 DOI: 10.1109/ISCC.2017.8024677
S. Tolba, R. Ammar
Underwater robotic swarms have more challenging operating conditions when compared to their ground counterparts. One such major limitation is vastness of the oceanic environment, which significantly increases the possibility of losing swarm members. Although swarms can tolerate losses, if care is not taken in the design of swarm-level behaviors, they can cause a complete failure of the mission. An additional design factor for such systems is, therefore, the spatial constrained-ness of the swarm. Virtual Tether Search (VTS) has been developed to address this concern. Robots use a virtual tether attached to the drop-off location along with dead-reckoning to stay within a maximum-radius distance from that location. Constrained Spiral Flocking (CSF), a previously developed algorithm, Robotic Particle Swarm Optimization (R-PSO), and Simple Sweeping (SSW) are compared to VTS and pros and cons of each algorithm are highlighted. VTS is shown to have a superior behavior in terms of omni-directionality and loss-prevention at the expense of relatively slow, but guaranteed convergence.
与地面机器人群相比,水下机器人群的操作条件更具挑战性。其中一个主要的限制是海洋环境的浩瀚,这大大增加了失去群体成员的可能性。虽然群体可以容忍损失,但如果在设计群体行为时不小心,它们可能会导致任务的彻底失败。因此,这种系统的另一个设计因素是群体的空间约束性。虚拟系绳搜索(VTS)的开发就是为了解决这个问题。机器人使用连接在落点上的虚拟缆绳以及航位推算来保持与该地点的最大半径距离。将先前开发的约束螺旋群集算法(CSF)、机器人粒子群优化算法(R-PSO)和简单扫描算法(SSW)与VTS进行了比较,并强调了每种算法的优缺点。VTS在全方向性和防丢失方面具有优越的性能,但收敛速度相对较慢,但有保证。
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引用次数: 1
HLAF: Heterogeneous-Latency Adaptive Forwarding strategy for Peer-Assisted Video Streaming in NDN NDN中对等辅助视频流的异构延迟自适应转发策略
Pub Date : 2017-07-01 DOI: 10.1109/ISCC.2017.8024603
Yuhang Ye, Brian A. Lee, R. Flynn, Niall Murray, Yuansong Qiao
Named Data Networking (NDN) is a promising Future Internet architecture to support efficient content distribution. Specifically, P2P may gain benefits from NDN, as NDN inherently provides a flexible forwarding plane for multi-source and multi-path communications. Existing studies in this area have proposed solutions, but these are adversely affected by link latency. This leads to illogical resource allocation and low link utilization for P2P. In this paper, we propose a new Heterogeneous-Latency Adaptive Forwarding (HLAF) strategy for peer-assisted video streaming in NDN. In peer-assisted video streaming, users (peers) proactively share the available content to others. By measuring the performance of forwarding interfaces, using both the level of congestion and the round-trip time, HLAF enables efficient P2P communication, which minimizes the latency and enhances the throughput. The experimental results show that the proposed strategy can enhance the peers' Quality of Experience (QoE).
命名数据网络(NDN)是支持高效内容分发的未来互联网架构。具体来说,P2P可以从NDN中获益,因为NDN固有地为多源、多路径通信提供了灵活的转发平面。该领域的现有研究已经提出了解决方案,但这些解决方案受到链路延迟的不利影响。这导致P2P的资源分配不合理,链路利用率低。在本文中,我们提出了一种新的异构延迟自适应转发(HLAF)策略,用于NDN中对等辅助视频流。在对等辅助视频流中,用户(对等体)主动地将可用内容分享给他人。HLAF通过使用拥塞程度和往返时间来衡量转发接口的性能,从而实现高效的P2P通信,从而最大限度地减少延迟并提高吞吐量。实验结果表明,该策略可以提高同伴的体验质量(QoE)。
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引用次数: 4
Shooter localization in wireless acoustic sensor networks 无线声传感器网络中的射击定位
Pub Date : 2017-07-01 DOI: 10.1109/ISCC.2017.8024573
Andrea Pinna, Giuseppe Portaluri, S. Giordano
This paper introduces a feasibility study of a low cost and power effective wireless acoustic sensor network for shooter localization. Currently deployed sensors for this application use a time domain gunshot signal analysis and high sampling rates, in the order of MS/s. We investigate an alternative Short Time Fourier Transform with a lower sampling rate (250 kS/s). We focus on a single channel single sensor approach for shooter ranging and we provide new experimental data. We implement a centralized gateway on top of the open and programmable board named ZedBoard. Our approach localizes the shooter with a distance error that ranges between roughly half and three meters, so the results are encouraging for further studies.
本文介绍了一种用于射击定位的低成本、低功耗无线声传感器网络的可行性研究。目前部署的用于该应用的传感器使用时域射击信号分析和高采样率,在MS/s数量级。我们研究了一种具有较低采样率(250 kS/s)的替代短时间傅里叶变换。研究了单通道单传感器的射击测距方法,并提供了新的实验数据。我们在名为ZedBoard的开放可编程板上实现了一个集中式网关。我们的方法定位射手的距离误差在大约半米到三米之间,所以结果是鼓舞人心的进一步研究。
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引用次数: 4
期刊
2017 IEEE Symposium on Computers and Communications (ISCC)
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