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

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Energy Efficient Double Cluster Head Routing Scheme in a City Vehicular Network 城市车辆网络节能双簇头路由方案
Hamdi Idjmayyel, B. Qazi, J. Elmirghani
Due to the rapid growth of high data rate applications substantial amount of energy is consumed by base station's equipment. In order to save energy, it is better to deploy fewer base stations (BSs), switch off as many as possible, or use low power consuming ones. However, quality of service (QoS) is usually sacrificed to achieve such savings. In this paper, we reduce the number of BSs to save energy and study the performance of four routing schemes employing our city vehicular simulator to fulfil the QoS. While utilising the ad hoc mode, we show that it is important to put the maximum proportion of vehicles' transceivers to the sleeping mode in order to save energy. To achieve this, we propose a new double cluster head (DCH) scheme in which only cluster heads (CHs) can undertake inter cluster communication. Our simulation results reveal that the proposed DCH scheme consumes 45% less energy compared to the fully functional vehicle-to-roadside (V2R) scenario and approximately 88% less energy compared to other routing schemes while attaining the required QoS.
由于高数据速率应用的快速增长,基站设备消耗了大量的能量。为了节约能源,最好少部署基站(BSs),关闭尽可能多的基站,或者使用低功耗的基站。然而,为了实现这种节省,通常会牺牲服务质量(QoS)。在本文中,我们减少了BSs的数量以节省能源,并利用我们的城市车辆模拟器研究了四种路由方案的性能,以实现QoS。在利用特设模式时,我们表明,为了节省能源,将车辆收发器的最大比例置于休眠模式是很重要的。为了实现这一目标,我们提出了一种新的双簇头(DCH)方案,其中只有簇头(CHs)可以进行簇间通信。我们的仿真结果表明,与全功能的车辆到路边(V2R)方案相比,所提出的DCH方案消耗的能量减少了45%,与其他路由方案相比,在达到所需的QoS的同时,消耗的能量减少了约88%。
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引用次数: 8
A Deadline Scheduler for Jobs in Distributed Systems 分布式系统中作业的最后期限调度程序
Quentin Perret, Gabriel Charlemagne, Stelios Sotiriadis, N. Bessis
This study presents a soft deadline scheduler for distributed systems that aims of exploring data locality management. In Hadoop, neither the Fair Scheduler nor the Capacity Scheduler takes care about deadlines defined by the user for a job. Our algorithm, named as Cloud Least Laxity First (CLLF), minimizes the extra-cost implied from tasks that are executed over a cloud setting by ordering each of which using its laxity and locality. By using our deadline scheduling algorithm, we demonstrate prosperous performance, as the number of available nodes needed in a cluster in order to meet all the deadlines is minimized while the total execution time of the job remains in acceptable levels. To achieve this, we compare the ability of our algorithm to meet deadlines with the Time Shared and the Space Shared scheduling algorithms. At last we implement our solution in the CloudSim simulation framework for producing the experimental analysis.
本文提出了一种分布式系统的软截止日期调度程序,旨在探索数据局部性管理。在Hadoop中,Fair Scheduler和Capacity Scheduler都不关心用户为作业定义的截止日期。我们的算法名为Cloud Least Laxity First (CLLF),它通过使用松散性和局部性对每个任务进行排序,从而最大限度地减少在云设置上执行的任务所隐含的额外成本。通过使用我们的截止日期调度算法,我们展示了良好的性能,因为集群中满足所有截止日期所需的可用节点数量被最小化,而作业的总执行时间保持在可接受的水平。为了实现这一点,我们比较了我们的算法与时间共享和空间共享调度算法满足最后期限的能力。最后,我们在CloudSim仿真框架中实现了我们的解决方案,并进行了实验分析。
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引用次数: 18
Architecture for Smart Highway Real Time Monitoring 智能公路实时监控体系结构
F. Villanueva, J. Albusac, Luis Jiménez, D. Villa, J. C. López
When we talk about smart cities, one of the key pillars is a smart management of traffic and transport infrastructure. In this paper, we propose an architecture to support highway monitoring in smart cities. Starting from a project to reduce cost of maintenance tasks in highways, we develop a comprehensive architecture for effectively monitor and manage future highways. Highway's security fence monitoring, environmental pollution, frozen asphalt warning, real-time accident detection, adapting speed limits to weather conditions, are examples of applications of our architecture.
当我们谈论智慧城市时,其中一个关键支柱是对交通和运输基础设施的智能管理。在本文中,我们提出了一种支持智慧城市高速公路监控的架构。我们从一个降低高速公路维修任务成本的项目出发,开发了一个全面的架构,以有效地监控和管理未来的高速公路。高速公路的安全围栏监控、环境污染、冰冻沥青预警、实时事故检测、根据天气条件调整限速,这些都是我们的建筑应用的例子。
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引用次数: 7
A Novel Cluster Head Selection Method based on K-Means Algorithm for Energy Efficient Wireless Sensor Network 一种基于k均值算法的高效无线传感器网络簇头选择方法
Geon Yong Park, Hee-seong Kim, Hwi Woon Jeong, H. Youn
Wireless sensor network consists of hundreds to thousands of sensor nodes gathering various data including temperature, sound, location, etc. They have been applied to numerous fields such as healthcare, monitoring system, military, and so forth. It is usually difficult to recharge or replace the sensor nodes which have limited battery capacity. Energy efficiency is thus a primary issue in maintaining the network. In this paper we propose an efficient cluster head selection method using K-means algorithm to maximize the energy efficiency of wireless sensor network. It is based on the concept of finding the cluster head minimizing the sum of Euclidean distances between the head and member nodes. Computer simulation shows that the proposed approach allows better performance than the existing hierarchical routing protocols such as LEACH and HEED in terms of network lifetime.
无线传感器网络由数百到数千个传感器节点组成,收集各种数据,包括温度、声音、位置等。它们已被应用于医疗保健、监控系统、军事等众多领域。由于电池容量有限,传感器节点通常难以充电或更换。因此,能源效率是维护电网的首要问题。为了使无线传感器网络的能量效率最大化,提出了一种基于k均值算法的簇头选择方法。它基于查找簇头的概念,最小化簇头和成员节点之间的欧氏距离之和。计算机仿真表明,该方法在网络生存期方面比现有的分层路由协议LEACH和HEED具有更好的性能。
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引用次数: 133
Using Workflow Management Systems to Improve Disaster Response Processes 使用工作流程管理系统改善灾难响应流程
Marlen Hofmann, Stefan Sackmann, Hans Betke
Although numerous processes are executed in disaster response management (DRM), methods and tools of business process management (BPM) are often deemed inapplicable. Since recent approaches extend classical functionalities of workflow management systems (WFMS), their feasibility for DRM should be re-evaluated. In this paper, we discuss tactical disaster response as a promising field for applying WFMS. The main results are twofold: firstly, it is shown that current approaches are addressing a major challenge of DRM, namely the provision of increased flexibility for adapting workflow models "on the fly". Secondly, methods and tools for business process analysis are discussed with regard to their additional potential for improving DRM. Therefore, the discussion in this paper is expected to stimulate further research for improving by highlighting novel research areas that might not be addressed with the appropriate priority in the BPM community.
尽管在灾难响应管理(DRM)中执行了许多流程,但业务流程管理(BPM)的方法和工具通常被认为不适用。由于最近的方法扩展了工作流管理系统(WFMS)的经典功能,因此应该重新评估它们用于DRM的可行性。在本文中,我们讨论了战术灾害响应作为WFMS应用的一个有前景的领域。主要的结果是双重的:首先,它表明当前的方法正在解决DRM的主要挑战,即为“动态地”适应工作流模型提供更大的灵活性。其次,讨论了业务流程分析的方法和工具,以及它们在改进DRM方面的附加潜力。因此,本文中的讨论希望通过强调在BPM社区中可能没有得到适当优先级处理的新研究领域,来刺激进一步的改进研究。
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引用次数: 12
A Proposal of a Simulation-Based Approach for Service Level Agreement in Cloud 一种基于仿真的云服务水平协议方法的提出
M. Rak, Antonio Cuomo, Umberto Villano
Clouds offer resources as services, which are charged on the basis of their actual usage. An approach that is currently spreading, to face possible problems linked to a low quality of service offered, is the adoption of Service Level Agreements (SLAs). In this paper we propose the adoption of a simulation-based approach for supporting a framework in charge of SLA management in cloud applications. The idea stems from the consideration that to face the inevitable impact on QoS of the cloud elasticity, it is necessary to evaluate in a predictive way the performance properties of the many different configurations among which the automatic cloud management can choose to allocate resources to customers. This paper proposes the architecture of the framework for SLA management in clouds, identifying the requirements implied by the simulation to be performed and suggesting the adoption of a simulation engine that fits with the proposed requirements.
云以服务的形式提供资源,这些资源是根据实际使用情况收费的。为了面对与所提供的低质量服务相关的可能问题,目前正在推广的一种方法是采用服务水平协议(sla)。在本文中,我们建议采用基于模拟的方法来支持云应用程序中负责SLA管理的框架。这个想法源于考虑到面对云弹性对QoS的不可避免的影响,有必要以预测的方式评估许多不同配置的性能属性,其中自动云管理可以选择将资源分配给客户。本文提出了云中的SLA管理框架的体系结构,确定了要执行的模拟所隐含的需求,并建议采用符合所提议需求的模拟引擎。
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引用次数: 4
Mining Online Book Reviews for Sentimental Clustering 为情感聚类挖掘在线书评
Eric Lin, S. Fang, Jie Wang
The classification of consumable media by mining relevant text for their identifying features is a subjective process. Previous attempts to perform this type of feature mining have generally been limited in scope due to having limited access to user data. Many of these studies used human domain knowledge to evaluate the accuracy of features extracted using these methods. In this paper, we mine book review text to identify nontrivial features of a set of similar books. We make comparisons between books by looking for books that share characteristics, ultimately performing clustering on the books in our data set. We use the same mining process to identify a corresponding set of characteristics in users. Finally, we evaluate the quality of our methods by examining the correlation between our similarity metric, and user ratings.
通过挖掘相关文本的识别特征对消费媒体进行分类是一个主观的过程。由于对用户数据的访问有限,以前执行这种类型的特征挖掘的尝试通常在范围上受到限制。其中许多研究使用人类领域知识来评估使用这些方法提取的特征的准确性。在本文中,我们对书评文本进行挖掘,以识别一组相似书籍的重要特征。我们通过寻找具有共同特征的图书来对图书进行比较,最终对数据集中的图书执行聚类。我们使用相同的挖掘过程来识别用户的相应特征集。最后,我们通过检查我们的相似度度量和用户评分之间的相关性来评估我们方法的质量。
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引用次数: 13
Towards Inter-cloud Simulation Performance Analysis: Exploring Service-Oriented Benchmarks of Clouds in SimIC 面向云间仿真性能分析:探索面向服务的SimIC云基准
Stelios Sotiriadis, N. Bessis, N. Antonopoulos
On recent years, much effort has been put in analyzing the performance of large-scale distributed systems like grids, clouds and inter-clouds with respect to a diversity of resources and user requirements. A common way to achieve this is by using simulation frameworks for evaluating novel models prior to the development of solutions in highly cost settings. In this work we focus on the SimIC simulation toolkit as an innovative discrete event driven solution to mimic the inter-cloud service formation, dissemination, and execution phases, processes that are bundled in the inter-cloud meta-scheduling (ICMS) framework. Our work has meta-inspired characteristics as we determine the inter-cloud as a decentralized and dynamic computing environment where meta-brokers actas distributed management nodes for dynamic and real-time decision making in an identical manner. To this extend, we study the performance of service distributions among clouds based on a variety of metrics (e.g. execution time and turnaround) when different heterogeneous inter-cloud topologies are taking place. We also explore the behavior of the ICMS for different user submissions in terms of their computational requirements. The aim is to produce the results for a benchmark analysis of clouds in order to serve future research efforts on cloud and inter-cloud performance evaluation as benchmarks. The results are diverse in terms of different performance metrics. Especially for the ICMS, an increased performance tendency is observed when the system scales to massive user requests. This implies the improvement on scalability and service elasticity figures.
近年来,人们花了很多精力分析大规模分布式系统的性能,如网格、云和云间系统,考虑到资源和用户需求的多样性。实现这一目标的一种常见方法是在高成本环境中开发解决方案之前,使用模拟框架来评估新模型。在这项工作中,我们将重点关注SimIC仿真工具包作为一种创新的离散事件驱动解决方案,以模拟云间服务的形成、传播和执行阶段,以及在云间元调度(ICMS)框架中捆绑的过程。我们的工作具有元启发的特征,因为我们将云间确定为分散的动态计算环境,其中元代理充当分布式管理节点,以相同的方式进行动态和实时决策。为此,我们研究了不同异构云间拓扑发生时,基于各种指标(例如执行时间和周转时间)的云间服务分布的性能。我们还根据不同用户提交的计算需求探讨了ICMS的行为。其目的是为云的基准分析提供结果,以便为未来云计算和云间性能评估的研究工作提供基准。根据不同的性能指标,结果是不同的。特别是对于ICMS,当系统扩展到大量用户请求时,可以观察到性能增加的趋势。这意味着可伸缩性和服务弹性数据的改进。
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引用次数: 16
Accessing Knowledge with a Game -- A Meta-analysis of Prediction Markets 用游戏获取知识——预测市场的元分析
Christian W. Scheiner, Philipp Haas, Niklas Leicht, K. Voigt
Prediction markets illustrate a promising solution to aggregate distributed knowledge playfully. Prediction markets are speculative markets. They are created to aggregate knowledge, which is distributed among the participants in the prediction market. Prediction markets have also been labeled as game market, decision market or virtual stock. The purpose of this study is to summarize recent studies according to the categories basic functionality, design, real or play money, implementation, success factors, and fields of application.
预测市场展示了一种很有前途的解决方案,可以有趣地聚合分布式知识。预测市场是投机市场。它们是用来聚集知识的,这些知识被分配给预测市场的参与者。预测市场也被称为游戏市场、决策市场或虚拟股票。本研究的目的是根据基本功能、设计、真钱或游戏钱、实施、成功因素和应用领域等类别来总结最近的研究。
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引用次数: 3
A Novel Probabilistic Key Management Algorithm for Large-Scale MANETs 一种新的大规模无线网络概率密钥管理算法
Mohammed Gharib, E. Emamjomeh-Zadeh, A. Norouzi-Fard, A. Movaghar
Mobile ad hoc networks (MANETs) have become very interesting during last years, but the security is the most important problem they suffer from. Asymmetric cryptography is a very useful solution to provide a secure environment in multihop networks where intermediate nodes are able to read, drop or change messages before resending them. However, storing all keys in every node by this approach is inefficient, if practically possible, in large-scale MANETs due to some limitations such as memory or process capability. In this paper, we propose a new probabilistic key management algorithm for large-scale MANETs. To the best of our knowledge, this is the first method which probabilistically uses asymmetric cryptography to manage the keys in MANETs. In this algorithm, we store only a few keys in each node instead of all. We analytically prove that the network will remain connected with a high probability more than 99:99%. Furthermore, we analytically calculate the average path length in the network and show that this parameter will not have a significant increment using our algorithm. All analytical results are also validated by simulation to make them dependable.
近年来,移动自组织网络(manet)成为人们关注的热点,但安全性是其面临的最重要问题。非对称加密是一种非常有用的解决方案,可以在多跳网络中提供安全环境,在多跳网络中,中间节点能够在重新发送消息之前读取、丢弃或更改消息。然而,由于内存或处理能力等一些限制,如果在实际可能的情况下,通过这种方法在每个节点中存储所有键是低效的。在本文中,我们提出了一种新的大规模manet的概率密钥管理算法。据我们所知,这是第一个概率地使用非对称加密来管理manet中的密钥的方法。在这个算法中,我们在每个节点中只存储几个键,而不是所有的键。通过分析证明,该网络将以大于99:99%的高概率保持连接。此外,我们分析计算了网络中的平均路径长度,并表明使用我们的算法该参数不会有显着的增量。通过仿真验证了分析结果的可靠性。
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引用次数: 21
期刊
2013 27th International Conference on Advanced Information Networking and Applications Workshops
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