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2011 IEEE Workshops of International Conference on Advanced Information Networking and Applications最新文献

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Evaluation of the Distributed Case-Based Reasoning System on a Distributed Computing Platform 基于分布式计算平台的分布式案例推理系统评价
Ha Manh Tran, J. Schönwälder
DisCaRia is a distributed case-based reasoning system used for fault resolution. This system features peer-to-peer and case-based reasoning approaches that provide the capability of exploring various fault data sources and exploiting fault solving knowledge from these distributed sources. This paper focuses on the prototype implementation and the performance evaluation of DisCaRia. The prototype system has been deployed on a distributed computing and storage testbed called EmanicsLab. This paper describes the results obtained from experiments performed on various software bug datasets.
DisCaRia是一个分布式的基于案例的推理系统,用于故障解决。该系统具有点对点和基于案例的推理方法,提供了探索各种故障数据源和从这些分布式数据源中挖掘故障解决知识的能力。本文重点研究了DisCaRia的原型实现和性能评价。原型系统已经部署在一个名为EmanicsLab的分布式计算和存储测试平台上。本文描述了在各种软件bug数据集上进行的实验结果。
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引用次数: 4
K-means Clustering in the Cloud -- A Mahout Test 云中的K-means聚类——一个Mahout测试
R. Esteves, Rui Pais, Chunming Rong
The K-Means is a well known clustering algorithm that has been successfully applied to a wide variety of problems. However, its application has usually been restricted to small datasets. Mahout is a cloud computing approach to K-Means that runs on a Hadoop system. Both Mahout and Hadoop are free and open source. Due to their inexpensive and scalable characteristics, these platforms can be a promising technology to solve data intensive problems which were not trivial in the past. In this work we studied the performance of Mahout using a large data set. The tests were running on Amazon EC2 instances and allowed to compare the gain in runtime when running on a multi node cluster. This paper presents some results of ongoing research.
K-Means是一种众所周知的聚类算法,已经成功地应用于各种各样的问题。然而,它的应用通常仅限于小数据集。Mahout是一种运行在Hadoop系统上的K-Means云计算方法。Mahout和Hadoop都是免费开源的。由于其廉价和可扩展的特点,这些平台可以成为解决数据密集型问题的一种很有前途的技术,而这些问题在过去并非微不足道。在这项工作中,我们使用大型数据集研究了Mahout的性能。测试在Amazon EC2实例上运行,并允许比较在多节点集群上运行时的增益。本文介绍了一些正在进行的研究结果。
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引用次数: 89
A Handoff Scheme Using Movement Prediction in Radio over Fiber Indoor Network at 60 GHz 一种基于运动预测的60ghz室内光纤无线网络切换方案
V. Bien, R. V. Prasad, I. Niemegeers
In-home networking is becoming a reality. New multimedia applications envisaged for in-home networks require data rates of hundreds of Mbps. In order to provision these applications, wireless networks should provide the user with high speed transmission using short-range Gbps wireless technology. With its unlicensed 5 GHz of spectrum, 60 GHz is envisaged for indoor broadband wireless networks. However, handoff in 60 GHz network occurs with a high rate due to the smaller cell size while using 60 GHz. Thus, the resources in such network vary frequently. So providing QoS guarantees in this network is more difficult than in traditional wireless networks. In this paper, we propose the handoff scheme using movement prediction. The prediction model is based on Hidden Markov Model. The simulation results show that the proposed scheme performs well compared to the two schemes in literature in terms of the call dropping probability and the call blocking probability.
家庭网络正在成为现实。为家庭网络设想的新多媒体应用需要数百Mbps的数据速率。为了提供这些应用,无线网络应该使用短距离Gbps无线技术为用户提供高速传输。由于其未经许可的5ghz频谱,60ghz被设想用于室内宽带无线网络。然而,在使用60 GHz时,由于蜂窝尺寸较小,60 GHz网络中的切换率很高。因此,这种网络中的资源变化频繁。因此,在这种网络中提供QoS保证比在传统的无线网络中更加困难。在本文中,我们提出了一种基于运动预测的切换方案。预测模型基于隐马尔可夫模型。仿真结果表明,该方案在呼叫中断概率和呼叫阻塞概率方面都优于文献中的两种方案。
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引用次数: 4
GridCuda: A Grid-Enabled CUDA Programming Toolkit GridCuda:一个支持网格的CUDA编程工具包
Tyng-Yeu Liang, Yu-Wei Chang
A grid-enabled programming toolkit called GridCuda is proposed in this paper. This programming toolkit provides a platform for users to write programs with the CUDA API, and exploit GPGPU resources available in computational grids to execute their programs. Whenever the CUDA functions in user programs are invoked, they will be transparently redirected to remote GPGPUs for execution by means of remote procedure calls. This programming toolkit also supports multithreaded programming so that the work of a CUDA program can be distributed over multiple GPGPUs for parallel execution.
本文提出了一个支持网格的编程工具包GridCuda。该编程工具包为用户提供了一个使用CUDA API编写程序的平台,并利用计算网格中可用的GPGPU资源来执行他们的程序。每当用户程序中的CUDA函数被调用时,它们将通过远程过程调用透明地重定向到远程gpgpu执行。该编程工具包还支持多线程编程,以便CUDA程序的工作可以分布在多个gpgpu上并行执行。
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引用次数: 54
An Anonymity Layer for JXTA Services JXTA服务的匿名层
J. Arnedo-Moreno, Marc Domingo-Prieto
JXTA is a set of open protocols that enable the creation and deployment of peer-to-peer (P2P) networks, allowing the execution of services in a distributed manner. Being a generic P2P middleware, it has slowly evolved in order to appeal a broad set of different applications. Part of this evolution includes providing basic security capabilities in its protocols in order to achieve some degree of message privacy and authentication. However, under some contexts, more advanced security requirements should be met, such as anonymity. In this work, we propose how to adapt JXTA messaging so that services may be anonymously accessed, by taking advantage of JXTA's idiosyncracies and capabilities, in a manner that is completely invisible to the existing protocols.
JXTA是一组开放协议,支持创建和部署点对点(P2P)网络,允许以分布式方式执行服务。作为一种通用的P2P中间件,它已经慢慢发展,以吸引广泛的不同应用程序。这种演变的一部分包括在其协议中提供基本的安全功能,以实现一定程度的消息隐私和身份验证。但是,在某些上下文中,应该满足更高级的安全需求,例如匿名性。在这项工作中,我们提出了如何调整JXTA消息传递,以便通过利用JXTA的特性和功能,以一种对现有协议完全不可见的方式匿名访问服务。
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引用次数: 1
Adaptive Genetic Algorithm for QoS-aware Service Selection qos感知服务选择的自适应遗传算法
Chengwen Zhang
An adaptive Genetic Algorithm is presented to select optimal web service composite plan from a lot of composite plans on the basis of global Quality-of-Service (QoS) constraints. In this Genetic Algorithm, a population diversity measurement and an adaptive crossover strategy are proposed to further improve the efficiency and convergence of Genetic Algorithm. The probability value of the crossover operation can be set according to the combination of population diversity and individual fitness. The algorithm can get more excellent composite service plan because it accords with the characteristic of web service selection very well. Some simulation results on web service selection with global QoS constraints have shown that the adaptive Genetic Algorithm can gain quickly better composition service plan that satisfies the global QoS requirements.
提出了一种基于全局服务质量约束的自适应遗传算法,从众多组合计划中选择最优的web服务组合计划。在遗传算法中,提出了种群多样性度量和自适应交叉策略,进一步提高了遗传算法的效率和收敛性。交叉操作的概率值可以根据种群多样性和个体适应度的结合来设定。该算法很好地符合web服务选择的特点,可以得到更优的复合服务方案。对具有全局QoS约束的web服务选择的仿真结果表明,自适应遗传算法能够快速获得较好的满足全局QoS要求的组合服务方案。
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引用次数: 13
A JADE Middleware for Grid Inter-cooperated Infrastructures 网格互协作基础设施的JADE中间件
Stelios Sotiriadis, N. Bessis, Ye Huang, P. Kuonen, N. Antonopoulos
During the past few years much effort has been put into developing interoperable grid models suitable of defining a decentralized control setting. Such environments may define new rules and actions to internal Virtual Organisation (VO) members and therefore posing new challenges towards to an extended cooperation model of grids. Particularly, VO members' knowledge may be expressed in the form of intelligent agents thus providing a more autonomous solution of communicating members. Herein we present a mobile agent middleware for Grid interoperable infrastructures. Facing the enlarging scale of Grid, the proposed middleware aims to extend the knowledge of a specific neighbouring of Grid members (VO) in relation to the addresses and the physical resources of known and unknown nodes which may join the Grid VO. The internal data are structured in a rational sequence and stored within a public profile of each member called metadata snapshot profile. The middleware is designed by employing the Java Agent Development (JADE) framework in which mobile agents are travelling throughout the domain and by collecting and updating internal data they extend the size of the VO. The interoperable standard is achieved by using the Critical Friends Community (CFC) model, as the mean to fulfil the inter-cooperation model.
在过去的几年中,人们在开发适合于定义分散控制设置的可互操作网格模型方面做了大量的工作。这样的环境可能会对内部虚拟组织(VO)成员定义新的规则和行动,从而对网格的扩展合作模式提出新的挑战。特别是,VO成员的知识可以以智能代理的形式表达,从而提供了一种更自主的成员通信解决方案。本文提出了一种面向网格互操作基础设施的移动代理中间件。面对网格规模的不断扩大,所提出的中间件旨在扩展网格成员的特定邻居(VO)与可能加入网格VO的已知和未知节点的地址和物理资源相关的知识。内部数据按合理的顺序结构化,并存储在每个成员的公共配置文件中,称为元数据快照配置文件。中间件是通过使用Java Agent Development (JADE)框架来设计的,在这个框架中,移动代理在整个域中移动,通过收集和更新内部数据,它们扩展了VO的大小。该互操作标准采用关键朋友社区(Critical Friends Community, CFC)模型作为实现互合作模型的手段来实现。
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引用次数: 3
Optimizing Security Efficiency through Effective Risk Management 通过有效的风险管理优化安全效率
S. Ghernaouti-Helie, I. Tashi, David Simms
Security measures taken in isolation and without reference to a concrete and relevant assessment and evaluation of actual risks are doomed to be inefficient. At best they do not address the real issues facing an organization and simply waste resources, at worst they provide management with inappropriate comfort over the level of security management that is in place. This paper reviews the key points of some relevant international standards, discusses the links between effective risk management and optimized security measures, and provides a case study illustrating the benefits to be obtained from a structured and integrated approach.
孤立地采取安全措施,而不考虑对实际风险进行具体和相关的评估和评价,注定是低效的。在最好的情况下,它们不能解决组织面临的实际问题,只是浪费资源,在最坏的情况下,它们为管理人员提供了不适当的安全管理级别的安慰。本文回顾了一些相关国际标准的要点,讨论了有效风险管理与优化安全措施之间的联系,并提供了一个案例研究,说明了从结构化和集成方法中获得的好处。
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引用次数: 5
QoE Aware Service Delivery in Distributed Environment 分布式环境中QoE感知的服务交付
K. Laghari, N. Crespi, B. Molina, C. Palau
Service delivery and customer satisfaction are strongly related items for a correct commercial management platform. Technical aspects targeting this issue relate to QoS parameters that can be handled by the platform, at least partially. Subjective psychological issues and human cognitive aspects are typically unconsidered aspects and they directly determine the Quality of Experience (QoE). These factors finally have to be considered as key input for a successful business operation between a customer and a company. In our work, a multi-disciplinary approach is taken to propose a QoE interaction model based on the theoretical results from various fields including pyschology, cognitive sciences, sociology, service ecosystem and information technology. In this paper a QoE evaluator is described for assessing the service delivery in a distributed and integrated environment on per user and per service basis.
对于一个正确的商业管理平台来说,服务交付和客户满意度是密切相关的。针对这个问题的技术方面涉及到可以由平台处理的QoS参数,至少部分是这样。主观心理问题和人的认知方面是典型的未被考虑的方面,它们直接决定了体验质量。这些因素最终必须被视为客户和公司之间成功业务运作的关键输入。本文基于心理学、认知科学、社会学、服务生态系统和信息技术等多学科的理论成果,采用多学科的方法,提出了一个质量质量互动模型。本文描述了一个QoE评估器,用于在每个用户和每个服务的基础上评估分布式和集成环境中的服务交付。
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引用次数: 67
Key Distribution in Wireless Sensor Networks Using Finite Affine Plane 基于有限仿射平面的无线传感器网络密钥分配
Samiran Bag, S. Ruj
Key management is an important area of research in Wireless Sensor Networks (WSN), because resource constraints make security protocols difficult to be implemented. Key predistribution, which involves preloading keys in sensor nodes, has been considered as the best solution when sensor nodes are battery powered and have to work unattended. We propose a deterministic key predistribution scheme in WSN, in which sensor nodes are deployed randomly. This scheme relies on affine planes for key predistribution. Our scheme offers a better security to node compromise, than other deterministic predistribution schemes. Our scheme has the same storage requirements as other predistribution schemes for large networks of thousands of nodes. We also show that our scheme performs better than non deterministic schemes when communication overheads are considered.
密钥管理是无线传感器网络(WSN)研究的一个重要领域,由于资源的限制使得安全协议难以实现。密钥预分配,即在传感器节点中预加载密钥,被认为是传感器节点在电池供电且无人值守时的最佳解决方案。提出了一种随机部署传感器节点的确定性密钥预分配方案。该方案依赖于仿射平面进行密钥预分配。与其他确定性预分布方案相比,该方案对节点泄露具有更好的安全性。对于具有数千个节点的大型网络,我们的方案与其他预分布方案具有相同的存储需求。当考虑通信开销时,我们还证明了我们的方案优于非确定性方案。
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引用次数: 13
期刊
2011 IEEE Workshops of International Conference on Advanced Information Networking and Applications
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