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2006 Fifth International Symposium on Parallel and Distributed Computing最新文献

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Dealing with Heterogeneity in Load Balancing Algorithms 处理负载均衡算法中的异构性
Pub Date : 2006-07-06 DOI: 10.1109/ISPDC.2006.17
Marta Beltrán, A. Guzmán, J. L. Bosque
Cluster heterogeneity increases the difficulty of balancing the load across the system nodes. Although the relationship between heterogeneity and load balancing is difficult to describe analytically, in this paper an exhaustive analysis of the effects of this system feature on load balancing algorithms performance is presented. Considering the performed analysis, there are two main challenges that need to be faced when dealing with cluster heterogeneity in load balancing algorithms: one related to the state measurement stage and another to the initiation rule. In this paper techniques to deal with heterogeneity in these two algorithm stages are proposed. Furthermore, suggestions to improve the performance of the rest of algorithm stages in heterogeneous environments are made too
集群的异构性增加了系统节点间负载均衡的难度。尽管异构性和负载平衡之间的关系很难用解析的方式描述,但本文还是详尽地分析了这一系统特性对负载平衡算法性能的影响。考虑到所执行的分析,在处理负载平衡算法中的集群异质性时需要面临两个主要挑战:一个与状态测量阶段有关,另一个与启动规则有关。本文提出了在这两个算法阶段处理异构性的技术。此外,本文还提出了改进异构环境下其他算法阶段性能的建议
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引用次数: 20
Parallel Implementation in PC Clusters of a Lanczos-based Algorithm for an Electromagnetic Eigenvalue Problem 基于lanczos的电磁特征值问题算法在PC集群中的并行实现
Pub Date : 2006-07-06 DOI: 10.1109/ISPDC.2006.39
M. Bernabeu, M. Taroncher, V. García, A. Vidal
This paper describes a parallel implementation of a Lanczos-based method to solve generalised eigenvalue problems related to the modal computation of arbitrarily shaped waveguides. This efficient implementation is intended for execution in moderate-low cost workstations (2 to 4 processors). The problem under study has several features: the involved matrices are sparse with a certain structure, and all the eigenvalues needed are contained in a given interval. The novel parallel algorithms proposed show excellent speed-up for small number of processors
本文描述了一种基于lanczos的方法的并行实现,用于解决与任意形状波导模态计算相关的广义特征值问题。这种高效的实现旨在在中低成本的工作站(2到4个处理器)中执行。所研究的问题具有以下几个特点:所涉及的矩阵是具有一定结构的稀疏矩阵,所需要的所有特征值都包含在给定的区间内。提出的新型并行算法在少量处理器上具有优异的加速性能
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引用次数: 2
Video Stream Annotations for Energy Trade-offs in Multimedia Applications 多媒体应用中能量权衡的视频流注释
Pub Date : 2006-07-06 DOI: 10.1109/ISPDC.2006.55
R. Cornea, A. Nicolau, N. Dutt
Recent applications for distributed mobile devices, including multimedia video/audio streaming, typically process streams of incoming data in a regular, predictable way. The behavior of these applications during runtime can be accurately predicted most of the time by analyzing the data to be processed and annotating the stream with the information collected. We introduce an annotation-based approach to power-quality trade-offs and demonstrate its application on CPU frequency scaling during video decoding, for an improved user experience on portable devices. Our experiments show that up to 50% of the power consumed by the CPU during video decoding can be saved with this approach
最近用于分布式移动设备的应用,包括多媒体视频/音频流,通常以一种规则的、可预测的方式处理传入数据流。大多数情况下,通过分析要处理的数据并使用收集到的信息对流进行注释,可以准确地预测这些应用程序在运行时的行为。我们介绍了一种基于注释的方法来进行功率质量权衡,并演示了其在视频解码期间CPU频率缩放的应用,以改善便携式设备上的用户体验。我们的实验表明,这种方法可以节省高达50%的CPU在视频解码过程中消耗的功率
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引用次数: 4
Security Framework for P2P Based Grid Systems 基于P2P的网格系统安全框架
Pub Date : 2006-07-06 DOI: 10.1109/ISPDC.2006.43
T. Ellahi, B. Hudzia, L. McDermott, Mohand Tahar Kechadi
Grid and P2P systems enable users to share resources across organization boundaries. A strong security system is an integral component of grid middleware to enable secure resource sharing at a very large scale. P2P grid systems combine approaches from both worlds to share resources at a very large scale. P2P grid systems have a different set of security requirements contrary to the traditional server based centralized grid systems. This paper proposes a decentralized security framework for P2P grid systems. This framework is part of a P2P based data grid middleware DGET (data grid environment and tools)
网格和P2P系统使用户能够跨组织边界共享资源。强大的安全系统是网格中间件不可或缺的组成部分,可以实现大规模的安全资源共享。P2P网格系统结合了这两个世界的方法,以非常大的规模共享资源。与传统的基于服务器的集中式网格系统不同,P2P网格系统具有不同的安全要求。提出了一种用于P2P网格系统的分散安全框架。该框架是基于P2P的数据网格中间件DGET(数据网格环境和工具)的一部分。
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引用次数: 7
Bisimulation Congruence for Asymmetric chi ^ ne -Calculus 非对称chi ^ ne -微积分的双模拟同余
Pub Date : 2006-07-06 DOI: 10.1109/ISPDC.2006.13
Farong Zhong, Yuxi Fu, Xiaoju Dong
In this paper a systematic study of bisimilarities on asymmetric chine-processes is carried out. The notion of L-bisimilarities on asymmetric chine-processes is introduced. Twelve distinct L-bisimilarities are derived from all of L-bisimilarities by constructing a bisimulation lattice. For each of these twelve distinct L-bisimilarities, its open version is defined and showed to coincide with it, and then its congruence is presented. Three update laws are proposed and three tau laws are modified. Finally, sound complete equational systems are established for twelve congruences
本文对非对称中国过程的双相似性进行了系统的研究。引入了非对称中国过程的l -双相似性的概念。通过构造一个双模拟格,从所有的l -双相似度推导出12个不同的l -双相似度。对于这12个不同的l -双相似性中的每一个,它的开放版本被定义并显示与它一致,然后它的一致性被呈现。提出了三个更新律,并对三个tau律进行了修正。最后,建立了十二个同余的完备方程组
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引用次数: 0
Dynamic Class Provisioning on Mobile Devices 移动设备上的动态类分配
Pub Date : 2006-07-06 DOI: 10.1109/ISPDC.2006.22
L. Petrea, D. Grigoras
Mobile devices are characterized by low processing power, limited communication bandwidth, limited storage space and rudimentary input and output systems. Networks of such devices are mainly the medium for data exchange. Dynamic code exchange is a feature that is not supported in this environment even though communication is easily achieved. This paper proposes a flexible class loader for the Java connected limited device configuration (CLDC). Introducing a dynamic remote class loader on the CLDC is necessary in order to efficiently deploy the platform into mobile wireless networks. The proposed solution is compared with other possible solutions and is evaluated in relation to existing systems
移动设备的特点是处理能力低,通信带宽有限,存储空间有限,输入和输出系统简陋。这些设备的网络主要是数据交换的媒介。动态代码交换是这个环境中不支持的特性,尽管通信很容易实现。本文提出了一种灵活的类加载器,用于Java连接受限设备配置(CLDC)。为了有效地将平台部署到移动无线网络中,有必要在CLDC上引入动态远程类装入器。提出的解决方案与其他可能的解决方案进行比较,并与现有系统进行评估
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引用次数: 1
Assessment of Dynamic Look-Ahead Inter-Processor Connection Reconfiguration for Different Control Paradigms 不同控制范式下动态预见性处理器间连接重构的评估
Pub Date : 2006-07-06 DOI: 10.1109/ISPDC.2006.10
E. Laskowski, M. Tudruj
Program execution methods and respective architectural solutions for parallel embedded systems with look-ahead dynamic inter-processor connection setting are discussed in the paper. The look-ahead dynamic connection setting is a novel method, which leads to time transparency of reconfiguration control during program execution. The look-ahead dynamic reconfiguration assumes segmentation of programs into sections, which are executed in parallel with connection setting for subsequent sections. The discussed architectures for the look-ahead dynamic reconfiguration are based on redundant resources such as processor links and link connection switches. The paper compares the efficiency of Strassen matrix multiplication in the systems based on multiple link connection switches, partitioned processor link sets and anticipated link connection setting on request in a single crossbar switch
本文讨论了具有前瞻性动态处理器间连接设置的并行嵌入式系统的程序执行方法和相应的体系结构解决方案。前瞻性动态连接设置是一种新颖的方法,使程序执行过程中的重构控制具有时间透明性。前瞻性动态重新配置假定将程序分割成多个节,这些节与后续节的连接设置并行执行。讨论了基于冗余资源(如处理器链路和链路连接开关)的前瞻性动态重配置体系结构。本文比较了Strassen矩阵乘法在基于多链路连接开关、分区处理器链路集和单个交叉开关按要求设置预期链路连接的系统中的效率
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引用次数: 0
Optimal Grid Exploitation Algorithms for Data Mining 数据挖掘的最优网格利用算法
Pub Date : 2006-07-06 DOI: 10.1109/ISPDC.2006.36
Valérie Fiolet, R. Olejnik, Guillem Lefait, B. Toursel
Although many data mining tasks have been parallelized and can thus be executed on dedicated clusters, few solutions currently exist to solve data mining problems on a grid or a non-specialized network of workstations. The current tendency is to focus on the use of grids and/or desktop grids in order to exploit any available workstations with no considerations of their physical positions. If a grid specific algorithm has some common characteristics with a dedicated-cluster algorithm, many constraints are inherent to the use of the grid. In particular, resource volatility and communications cost reduce the parallelism effectiveness. The DisDaMin project (distributed data mining) revisits the data mining tasks and proposes new exploitable algorithms for grids. The DisDaMin mechanisms first implement a specific fragmentation of the data using clustering methods, and then realize asynchronous collaborative techniques according to the specifics of execution on grids. The use of this fragmentation method makes it possible to carry out optimal local processing on each node, with a minimum of communications. Using this, we introduce the distributed algorithm DICCoop, an adaptation of DIC by Brin et al. (1997). Simulations were performed to prove the efficiency of the proposed mechanisms and are hosted on the French national grid GRID5000 (part of the European CoreGrid). We analyse the impact of the numerous parameters on optimization of parallel efficiency
尽管许多数据挖掘任务已经并行化,因此可以在专用集群上执行,但目前很少有解决方案可以解决网格或非专业工作站网络上的数据挖掘问题。目前的趋势是集中使用网格和/或桌面网格,以便利用任何可用的工作站,而不考虑它们的物理位置。如果特定于网格的算法具有与专用集群算法的一些共同特征,则许多约束是使用网格所固有的。特别是资源的波动性和通信成本降低了并行性的有效性。DisDaMin项目(分布式数据挖掘)重新审视了数据挖掘任务,并提出了新的网格可利用算法。DisDaMin机制首先使用聚类方法实现特定的数据碎片,然后根据网格上执行的具体情况实现异步协作技术。使用这种碎片化方法可以在每个节点上以最少的通信进行最佳的本地处理。利用这一点,我们引入了分布式算法DICCoop,这是Brin等人(1997)对DIC的一种改编。在法国国家电网GRID5000(欧洲CoreGrid的一部分)上进行了仿真,以证明所提出机制的效率。分析了众多参数对并行效率优化的影响
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引用次数: 18
D-Grid, an E-Science Framework for German Scientists D-Grid,德国科学家的电子科学框架
Pub Date : 2006-07-06 DOI: 10.1109/ISPDC.2006.16
W. Gentzsch
The World Wide Web has become pervasive in many facets of our professional and personal lives during the past 10 years. Today, another Internet revolution is emerging: grid computing. While the Web offers easy access to mostly static information via hypertext, the grid adds another fundamental layer by enabling access to and use of the underlying resources. Based on widely accepted grid and Web services standards, resources including computers, storage, scientific instruments and experiments, applications, data, and middleware services communicate with each other and deliver results back to the user. These resources are part of a single service-oriented architecture, called OGSA, the Open Grid Services Architecture. For the past several years, early adopters in research and industry have been building and operating prototypes of grids for global communities, virtual organizations, and within enterprises
在过去的十年里,万维网已经在我们的职业和个人生活的许多方面变得无处不在。今天,另一场互联网革命正在兴起:网格计算。Web通过超文本提供了对大多数静态信息的简单访问,而网格通过允许访问和使用底层资源增加了另一个基本层。基于广泛接受的网格和Web服务标准,包括计算机、存储、科学仪器和实验、应用程序、数据和中间件服务在内的资源相互通信,并将结果交付给用户。这些资源是一个面向服务的体系结构的一部分,称为OGSA,即开放网格服务体系结构。在过去的几年中,研究和工业领域的早期采用者一直在为全球社区、虚拟组织和企业内部构建和操作网格原型
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引用次数: 22
An Energy-Efficient Dynamic Power Management in Wireless Sensor Networks 无线传感器网络中节能的动态电源管理
Pub Date : 2006-07-06 DOI: 10.1109/ISPDC.2006.8
Chuang Lin, Yanxiang He, N. Xiong
Wireless sensor networks play a key role in monitoring remote or inhospitable physical environments. One of the most important constraints is the energy efficiency problem. Power conservation and power management must be taken into account at all levels of the sensor networks system hierarchy. DPM (dynamic power management) technology has been widely used in sensor networks. In this paper, we propose a new energy-efficient DPM, which is a modified sleep state policy developed by Simunic and Chdrakasan (2001) and combined with optimal geographical density control (OGDC) by Zhang and Hou (2004) to keep a minimal number of sensor nodes in the active mode in wireless sensor networks. Implementing dynamic power management with considering the battery status, probability of event generation and OGDC will reduce the energy consumption and prolong the whole lifetime of the sensor networks
无线传感器网络在监测远程或不适宜居住的物理环境中起着关键作用。最重要的制约因素之一是能源效率问题。在传感器网络系统的各个层次上都必须考虑节能和功耗管理。动态电源管理(DPM)技术在传感器网络中得到了广泛的应用。在本文中,我们提出了一种新的节能DPM,它是由Simunic和Chdrakasan(2001)提出的一种改进的睡眠状态策略,并结合Zhang和Hou(2004)的最优地理密度控制(OGDC),以保持无线传感器网络中最小数量的传感器节点处于主动模式。考虑电池状态、事件发生概率和OGDC的动态电源管理将降低传感器网络的能耗,延长传感器网络的全寿命
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引用次数: 75
期刊
2006 Fifth International Symposium on Parallel and Distributed Computing
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