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检索条件"任意字段=2010 International Conference on Parallel and Distributed Computing and Networks, PDCN 2010"

共 2393 条记录，以下是321-330 订阅

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Simple Tool for Application Runs and Transfer of Data (s.t.a.r.t.)

Simple Tool for Application Runs and Transfer of Data (s.t.a...

引用

18th Euromicro international conference on parallel, distributed and Network-Based Processing (PDP)

作者： Hardt, Marcus Hammad, Ahmad Hopp, Torsten KIT Steinbuch Ctr Comp Karlsruhe Germany KIT Inst Data Proc & Elect Karlsruhe Germany

ISBN: (纸本)9780769539393

gLite is one of the largest distributed computing infrastructures in operation. It provides access to hundreds of different clusters - all installed and maintained in different ways. This paper analyses the difficulties which users typically experience when moving from their own workstation via clusters or supercomputers to the grid. Based on that analysis, this paper presents tools, which helps to overcome this gap and introduces an advanced commandline interface to the grid.

关键词： gridcomputing user interface commandline developer tool distributed computing

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Providing QoS guarantees in large-scale operator networks

Providing QoS guarantees in large-scale operator networks

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IEEE international conference on High Performance computing and Communication

作者： Rizou, Stamatia Dürr, Frank Rothermel, Kurt Universität Stuttgart Institute of Parallel and Distributed Systems Universitätsstraße 38 70569 Stuttgart Germany

ISBN: (纸本)9780769542140

Application areas like global sensor networks and data stream processing involve the on-line processing of large amounts of data in an overlay network of operators on top of the Internet infrastructure. Trying to fulfill QoS guarantees in such networks is a challenging task that should be realized under the requirement for optimal usage of common resources in the network. Therefore in this paper, we formalize a constrained optimization problem for the placement of operators in an overlay network which strives for satisfying user QoS constraints subject to latency, while minimizing the network load induced by the deployment of the operators in the network. Since the initial problem is NP-hard, we solve at a first step the problem in an intermediate continuous latency space and then we map the continuous solution to its discrete variant. Our evaluations provide an analysis about the inherent interdepedence between the two metrics, network usage and latency, subject to this paper and furthermore show that our algorithm achieves a good balance between the user requirements and the usage of the network resources. © 2010 IEEE.

关键词： Quality of service

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Optimized Information Discovery using Self-adapting Indices over distributed Hash Tables

Optimized Information Discovery using Self-adapting Indices ...

引用

IEEE 29th international Performance computing and Communications conference

作者： Memon, Faraz Tiebler, Daniel Duerr, Frank Rothermel, Kurt Univ Stuttgart IPVS Distributed Syst Dept D-70569 Stuttgart Germany

ISBN: (纸本)9781424493289

distributed Hash Table (DHT)-based peer-to-peer information discovery systems have emerged as highly scalable systems for information storage and discovery in massively distributed networks. Originally DHTs supported only point queries. However, recently they have been extended to support more complex queries, such as multi-attribute range (MAR) queries. Generally, the support for MAR queries over DHTs has been provided either by creating an individual index for each data attribute or by creating a single index using the combination of all data attributes. In contrast to these approaches, we propose to create and modify indices using the attribute combinations that dynamically appear in MAR queries in the system. In this paper, we present an adaptive information discovery system that adapts the set of indices according to the dynamic set of MAR queries in the system. The main contribution of this paper is a four-phase index adaptation process. Our evaluations show that the adaptive information discovery system continuously optimizes the overall system performance for MAR queries. Moreover, compared to a non-adaptive system, our system achieves several orders of magnitude improved performance.

关键词： MAR queries adaptive information discovery system distributed hash tables distributed networks index adaptation process information storage multiattribute range queries optimized information discovery peer-to-peer computing peer-to-peer information discov

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Investigations on distributed detection performance of neyman-pearson detection scheme using constructive interference technique for WSN

Investigations on distributed detection performance of neyma...

引用

2010 international conference on Wireless Communication and Sensor computing, ICWCSC 2010

作者： Stella, Johnsi Radha, S. Dept of ECE St. Joseph's College of Engineering Chennai 600119 India Dept. of ECE SSN College of Engineering SSN Nagar Kalavakkam 603110 India

ISBN: (纸本)9781424451371

Detection of event is a prominent application of wireless sensor networks. In this paper, the problem of distributed detection in a wireless sensor network over multi access fading channel is considered. The detection performance of Neyman-Pearson detection scheme, which uses a constructive interference technique is analyzed for different channel conditions. The detection performance is characterized in terms of error exponent which defines the detection error probability. The investigations give some valuable insight in to an optimal design of wireless sensor networks. ©2010 IEEE.

关键词： Wireless sensor networks

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Fast parallel Markov clustering in bioinformatics using massively parallel graphics processing unit computing

Fast parallel Markov clustering in bioinformatics using mass...

引用

9th international Workshop on parallel and distributed Methods in Verification, PDMC 2010 - Joint with the 2nd international Workshop on High-Performance Computational Systems Biology, HiBi 2010

作者： Bustamam, Alhadi Burrage, Kevin Hamilton, Nicholas A. Institute for Molecular Bioscience University of Queensland Australia Department of Mathematics University of Indonesia Indonesia COMLAB Oxford University United Kingdom

ISBN: (纸本)9780769542652

Markov clustering is becoming a key algorithm within bioinformatics for determining clusters in networks. For instance, clustering protein interaction networks is helping find genes implicated in diseases such as cancer. However, with fast sequencing and other technologies generating vast amounts of data on biological networks, performance and scalability issues are becoming a critical limiting factor in applications. Meanwhile, Graphics Processing (GPU) computing, which uses a massively parallel computing environment in the GPU card, is becoming a very powerful, efficient and low cost option to achieve substantial performance gains over CPU approaches. This paper introduces a very fast Markov clustering algorithm (MCL) based on massive parallel computing in GPU. We use the Compute Unified Device Architecture (CUDA) to allow the GPU to perform parallel sparse matrix-matrix computations and parallel sparse Markov matrix normalizations, which are at the heart of the clustering algorithm. The key to optimizing our CUDA Markov Clustering (CUDAMCL) was utilising ELLACK-R sparse data format to allow the effective and fine-grain massively parallel processing to cope with the sparse nature of interaction networks datasets in bioinformatics applications. CUDA also allows us to use on-chip memory on the GPU efficiently, to lower the latency time thus circumventing a major issue in other parallel computing environments, such as Message Passing Interface (MPI). Here we describe the GPU algorithm and its application to several real world problems as well as to artificial datasets. We find that the principle factor causing variation in performance of the GPU approach is the relative sparseness of networks. Comparing GPU computation times against a modern quad-core CPU on the published (relatively sparse) standard BIOGRID protein interaction networks with 5156 and 23175 nodes, speed factors of 4 times and 9 were obtained, respectively. On the Human Protein Reference Database, the

关键词： Graphics processing unit

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Efficient Distribution of Virtual Machines for Cloud computing

Efficient Distribution of Virtual Machines for Cloud Computi...

引用

18th Euromicro international conference on parallel, distributed and Network-Based Processing (PDP)

作者： Schmidt, Matthias Fallenbeck, Niels Smith, Matthew Freisleben, Bernd Univ Marburg Dept Math & Comp Sci Hans Meerwein Str 3 D-35032 Marburg Germany

ISBN: (纸本)9780769539393

The commercial success of Cloud computing and recent developments in Grid computing have brought platform virtualization technology into the field of high performance computing. Virtualization offers both more flexibility and security through custom user images and user isolation. In this paper, we deal with the problem of distributing virtual machine (VM) images to a set of distributed compute nodes in a Cross-Cloud computing environment, i.e., the connection of two or more Cloud computing sites. Ambrust et al. [3] identified data transfer bottlenecks as one of the obstacles Cloud computing has to solve to be a commercial success. Several methods for distributing VM images are presented, and optimizations based on copy on write layers are discussed. The performance of the presented solutions and the security overhead is evaluated.

关键词： Cloud computing

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Identification, modelling and prediction of non-periodic bursts in workloads 10

Identification, modelling and prediction of non-periodic bur...

引用

10th IEEE/ACM international Symposium on Cluster, Cloud, and Grid computing, CCGrid 2010

作者： Lassnig, Mario Fahringer, Thomas Garonne, Vincent Molfetas, Angelos Branco, Miguel Distributed and Parallel Systems University of Innsbruck 6020 Innsbruck Austria Distributed Data Management CERN PH-ADP 1211 Geneva 23 Switzerland Electronics and Computer Science University of Southampton SO17 1BJ United Kingdom

ISBN: (纸本)9781424469871

Non-periodic bursts are prevalent in workloads of large scale applications. Existing workload models do not predict such non-periodic bursts very well because they mainly focus on repeatable base functions. We begin by showing the necessity to include bursts in workload models by investigating their detrimental effects in a petabyte-scale distributed data management system. This work then makes three contributions. First, we analyse the accuracy of five existing prediction models on workloads of data and computational grids, as well as derived synthetic workloads. Second, we introduce a novel averages-based model to predict bursts in arbitrary workloads. Third, we present a novel metric, mean absolute estimated distance, to assess the prediction accuracy of the model. Using our model and metric, we show that burst behaviour in workloads can be identified, quantified and predicted independently of the underlying base functions. Furthermore, our model and metric are applicable to arbitrary kinds of burst prediction for time series. © 2010 IEEE.

关键词： Forecasting

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Performance analysis of parallel signal processing algorithms in audio mixing systems

Performance analysis of parallel signal processing algorithm...

引用

9th international conference on networks, ICN 2010

作者： Schimmel, Jiri Faculty of Electrical Engineering and Communication Brno University of Technology Brno Czech Republic

ISBN: (纸本)9780769539799

Algorithms for real-time parallel processing of an audio signal in large-scale digital audio distribution networks, implemented on personal computer platform, are compared in this paper from the performance point of view. In such systems, the summing and multiplication of audio signal take up a significant portion of the processing power of the system. Therefore, there is a tendency to decrease its computing demands and thus reserve the computing power of the processor for other signal processing modules in the audio network. Various approaches can therefore be used to distribute computing among several threads. Seven approaches are analyzed in the paper and fastest one is found with regard to the size of audio sample buffers. © 2010 IEEE.

关键词： Audio systems

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distributed vision graph update in mobile vision networks 23

Distributed vision graph update in mobile vision networks

引用

23th international conference on Architecture of computing Systems 2010, ARCS 2010

作者： Wittke, Michael Hähner, Jörg Leibniz Universität Hannover Institute of Systems Engineering System and Computer Architecture Appelstr. 4 Hannover30167 Germany

ISBN: (纸本)9783800732227

Previous work in the research field of Smart Camera (SC) networks intensively focused on algorithms for obtaining vision graphs in distributed camera networks consisting of static camera nodes. Each edge of the vision graph represents two cameras imaging a sufficiently large part of the same environment. In contrast, we propose that future SC networks will consist of static SCs, supported by mobile image providers (e.g. embedded devices equipped with image sensors such as mobile phones). Due to their mobility, location changes (especially turnings changing the direction of view) are very likely. In contrast to position changes, which can be detected by using off-the-shelf GPS sensors, turnings can only be detected by high-cost magnetic compasses. In this paper, we present a lightweight distributed algorithm for estimating turning movements based on visual sensor data and updating the system's vision graph. Our algorithm uses the optical flow as input to compute the turnings. Evaluations on a mobile image provider, consisting of an off-the-shelf embedded device equipped with an IP cam, show that our algorithm is able to estimate the angle of rotation with an accuracy of 80% and performs well in terms of CPU and memory utilization. © 2010 23th international conference on Architecture of computing Systems 2010, ARCS 2010 - Workshop Proceedings. All rights reserved.

关键词： Cameras

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Optimization of topology of truss structures using grid computing

Optimization of topology of truss structures using grid comp...

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2010 IEEE international conference on Cluster computing Workshops and Posters, Cluster Workshops 2010

作者： Igumenov, Aleksandr Žilinskas, Julius Kurowski, Krzysztof MacKowiak, Mikolaj Institute of Mathematics and Informatics Akademijos 4 LT-08663 Vilnius Lithuania Poznan Supercomputing and Networking Center Poznan Poland

ISBN: (纸本)9781424483969

Topology optimization of truss structures is considered in this paper. Trusses are widely used in various constructions: bridges, towers, roof supporting structures. Topology optimization of trusses requires large amount of computing resources. Therefore distributed computer networks are used to solve this kind of problems. In this paper a distributed branch-and-bound combinatorial algorithm for topology optimization of trusses is investigated in computational grid infrastructure and clusters of personal computers. © 2010 IEEE.

关键词： Global optimization

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