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检索条件"任意字段=7th International Symposium on Parallel and Distributed Computing"

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EH*RS: A high-availability scalable distributed data structure

EH*RS: A high-availability scalable distributed data structu...

引用

7th international Conference on Algorithms and Architectures for parallel Processing

作者： Ren, Xueping Xu, Xianghua Hangzhou Dianzi Univ Inst Software & Intelligent Technol Hangzhou 310018 Peoples R China

ISBN: (纸本)9783540729044

EH*RS is a new high-availability Scalable distributed Data Structure (SDDS). the file structure and the search performance of EH*RS are basically these of EH*. It gets high availability based on record group and Reed-Salomon erasure correcting coding. EH*RS remains all data available despite the unavailability of any k >= 1 servers by storing the additional information: the parity information. the value of k transparently grows with the file, to prevent the reliability decline. the storage overhead for the high-availability is small. the example shows that EH*RS file performs as expected. Finally, the scheme of EH*RS provides new perspectives to data-intensive applications (DBMSs), including the emerging ones of grids and of P2P computing.

关键词： Data structures

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A parallel BSP algorithm for irregular dynamic programming

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7th international symposium on Advanced parallel Processing Technologies

作者： Low, Malcolm Yoke Hean Liu, Weiguo Schmidt, Bertil Nanyang Technol Univ Sch Comp Engn Singapore 639798 Singapore Univ New South Wales Asia Singapore Singapore

ISBN: (纸本)9783540768364

Dynamic programming is a widely applied algorithm design technique in many areas such as computational biology and scientific computing. Typical applications using this technique are compute-intensive and suffer from long runtimes on sequential architectures. therefore, several parallel algorithms for both fine-grained and coarse-grained architectures have been introduced. However, the commonly used data partitioning scheme can not be efficiently applied to irregular dynamic programming algorithms, i.e. dynamic programming algorithms with an uneven load density pattern. In this paper we present a tunable parallel Bulk Synchronous parallel (BSP) algorithm for such kind of applications. this new algorithm can balance the workload among processors using a tunable block-cyclic data partitioning method and thus is capable of getting almost linear performance gains. We present a theoretical analysis and experimentally show that it leads to significant runtime savings for pairwise sequence alignment with general gap penalties using BSPonMPI on a PC cluster.

关键词： BSP irregular dynamic programming partitioning load balancing scientific computing

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A framework for implicit surfaces reconstruction form large clouds of points

A framework for implicit surfaces reconstruction form large ...

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7th IEEE international symposium on Signal Processing and Information Technology

作者： Hussein, Ashraf S. Abdel-Aziz, Amr H. Ain Shams Univ Fac Comp & Informat Sci Cairo 11566 Egypt

ISBN: (纸本)9781424418343

this paper presents an integrated firamework for surface reconstruction capable of handling large scale clouds of points. this framework is based on two proposed methods for implicit surface fitting and polygonization to convert a cloud of unorganized points into an optimized surface. ne proposed fitting method employs the Partition of Unity (POU) method associated with the Radial Basis Functions (RBF) over a distributed computing environment to facilitate and speedup fitting of large scale clouds without any data reduction to preserve all the surface details. Moreover, an innovative Adaptive Mesh Refinement (AMR) based method is proposed for implicit surface polygonization. this method steers adaptive volume sampling via a series of optimization criteria to provide accurate and optimized surfaces with minimum number of polygons. the experimental results for the considered test models showed an average reduction of 60 % in fitting time using 16 processing nodes and 90% in polygonization time on the master node only against other traditional methods with better performance.

关键词： surface reconstruction radial basis functions partition of unity implicit modeling distributed systems

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Scheduling data-intensive workflows onto storage-constrained distributed resources 07

Scheduling data-intensive workflows onto storage-constrained...

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7th IEEE international symposium on Cluster computing and the Grid, CCGrid 2007

作者： Ramakrishnan, Arun Singh, Gurmeet Zhao, Henan Deelman, Ewa Sakellariou, Rizos Vahi, Karan Blackburn, Kent Meyers, David Samidi, Michael University of Southern California Los Angeles United States USC Information Sciences Institute 4676 Admiralty Way Marina Del Rey CA 90292 United States School of Computer Science University of Manchester Manchester M13 9PL United Kingdom LIGO Laboratory California Institute of Technology MS 18-34 Pasadena CA 91125 United States Northrop Grumman Information Technology 320 North Halstead Pasadena CA 91107 United States

ISBN: (纸本)0769528333

In this paper we examine the issue of optimizing disk usage and of scheduling large-scale scientific workflows onto distributed resources where the workflows are data-intensive, requiring large amounts of data storage, and where the resources have limited storage resources. Our approach is two-fold: we minimize the amount of space a workflow requires during execution by removing data files at runtime when they are no longer required and we schedule the workflows in a way that assures that the amount of data required and generated by the workflow fits onto the individual resources. For a workflow used by gravitationalwave physicists, we were able to improve the amount of storage required by the workflow by up to 57%. We also designed an algorithm that can not only find feasible solutions for workflow task assignment to resources in diskspace constrained environments, but can also improve the overall workflow performance. © 2007 IEEE.

关键词： Data flow analysis

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Power aware scheduling of bag-of-tasks applications with deadline constraints on DVS-enabled clusters 07

Power aware scheduling of bag-of-tasks applications with dea...

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7th IEEE international symposium on Cluster computing and the Grid

作者： Kim, Kyong Hoon Buyya, Rajkumar Kim, Jong Univ Melbourne Dept Comp Sci & Software Engn Grid Comp & Distributed Syst Lab Parkville Vic 3052 Australia Pohang Univ Sci & Technol Dept Comp Sci & Engn Pohang South Korea

ISBN: (纸本)9780769528335

Power-aware scheduling problem has been a recent issue in cluster systems not only for operational cost due to electricity cost, but also for system reliability. As recent commodity processors support multiple operating points under various supply voltage levels, Dynamic Voltage Scaling (DVS) scheduling algorithms can reduce power consumption by controlling appropriate voltage levels. In this paper we provide power-aware scheduling algorithms for bag-of-tasks applications with deadline constraints on DVS-enabled cluster systems in order to minimize power consumption as well as to meet the deadlines specified by application users. A bag-of-tasks application should finish all the sub-tasks before the deadline, so that the DVS scheduling scheme should consider the deadline as well. We provide the DVS scheduling algorithms for both time-shared and space-shared resource sharing policies. the simulation results show that the proposed algorithms reduce much power consumption compared to static voltage schemes.

关键词： Voltage control Energy consumption Costs Dynamic voltage scaling Scheduling algorithm Power system management Quality of service Reliability Temperature Energy management

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An accounting model for dynamic virtual organizations 07

An accounting model for dynamic virtual organizations

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7th IEEE international symposium on Cluster computing and the Grid

作者： Goehner, Matthias Waldburger, Martin Gubler, Fabian Rodosek, Gabi Dreo Stiller, Burkhard Univ Fed Armed Forces IIS D-85577 Neubiberg Germany Univ Zurich CH-8006 Zurich Switzerland Swiss Fed Inst Technol Zurich Switzerland

ISBN: (纸本)9780769528335

the provisioning of remote and composed services in support of various application areas has dramatically increased over. recent times. thus, the concept of Grids has evolved, in the-sense of a common platform for electronic service provisioning in multi-domain environments. While, traditionally, Grids have seen a quite static existence, many new service compositions have to take place on-demand and for certain periods of time only. To tackle those issues the concept of Virtual Organizations (VO) delivers a highly suitable representation of such dynamic Grids. However one important, open problem at this stage is the lack of applicable, distributed, and efficient accounting schemes for commercial resource and service consumptions. Even for simple management purposes, e.g., sampling or archiving, this functionality is essential. therefore, a comprehensive model for Grid accounting has been developed and suitable accountable units have been defined, in which an underlying activity- and resource-based accounting model covers economic cost theory. Furthermore, this work is based on a service model proposed for service provisioning in dynamic VOs, overcoming the typically static nature of traditional Grids.

关键词： Environmental economics Costs Grid computing Resource virtualization Performance analysis Consumer electronics Information systems Laboratories Informatics Computer networks

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Large scale deployment of molecular docking application on computational grid infrastructures for combating malaria 07

Large scale deployment of molecular docking application on c...

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7th IEEE international symposium on Cluster computing and the Grid

作者： Kasam, Vinod Salzemann, Jean Jacq, Nicolas Mass, Astrid Breton, Vincent Phys Corpusculaire Lab Campus Cezeaux24 Av Landais F-63177 Aubiere France Sch Birlingoven Fraunho Inst Algorithms Sci Comp SCAI D-53754 St Augustin Germany

ISBN: (纸本)9780769528335

Computational grids are solutions for several biological applications like virtual screening or molecular dynamics where large amounts of computing power and storage are required. the WISDOM project successfully deployed virtual screening at large scale on EGEE grid infrastructures in the summer 2005 and achieved 46 million dockings in 45 days, which is equivalent to 80 CPU years. WISDOM is one good example of a successful deployment of an embarrassingly parallel application. In this paper, we describe the improvements in our deployment. We screened ZINC database against four targets implicated in malaria. During more than 2 months and a half, we have achieved 140 million dockings, representing an average throughput of almost 80,000 dockings per hour. this was made possible by the availability of thousands of CPUs through different infrastructures worldwide. through the acquired experience, the WISDOM production environment is evolving to enable an easy and fault-tolerant deployment of biological tools.

关键词： Large-scale systems Computer applications Grid computing Diseases Chemical compounds Databases Costs DNA Polymers Biology computing

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A distributed scheduling algorithm in central-stage buffered multi-stage switching fabrics

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7th international symposium on Advanced parallel Processing Technologies

作者： Hu, Yuxiang Dong, Fang Lan, Julong Natl Digital Switching Syst Engn & Technol Res Ct Zhengzhou 450002 Henan Peoples R China

ISBN: (纸本)9783540768364

the current MSM switching fabric has poor performance under unbalanced traffic. To eliminate the internal congestion of switching fabric, we put forward a new central-stage buffered multi-stage switching fabric-CB-3Clos and the backpressure-based strategy to control flows under credit-dispensed mode. By analyzing the condition to satisfy the central-stage load balance, we also advance an iSLIP alike scheduling algorithm-RGA. the simulation results show: compared with CRRD algorithm based on MSM switching fabric, the RGA algorithm has high throughput irrespective with the arriving traffic model and better performance in packet May. At the same time, the QoS can be guaranteed.

关键词： Scheduling algorithms

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Model for simulation of heterogeneous high-performance computing environments

Model for simulation of heterogeneous high-performance compu...

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7th international Conference on High Performance computing for Computational Science

作者： de Mello, Rodrigo Fernandes Senger, Luciano Jose Univ Sao Paulo Dept Comp Inst Ciencias Mat & Comp Av Trabalhador Saocarlense400 Caixa Postal 668 BR-13560970 Sao Carlos SP Brazil Uni Estadual Ponta Grossa Dept Informat BR-84030900 Ponta Grossa PR Brazil

ISBN: (纸本)9783540713500

this paper proposes a new model to predict the process execution behavior on heterogeneous multicomputing environments. this model considers the process execution costs such as processing, hard disk acessing, message transmitting and memory allocation. A simulator of this model was developed which help to predict the execution behavior of processes on distributed environments under different scheduling techniques. Besides the simulator, it was developed a suite of benchmark tools in order to parameterize the proposed model with data collected from real environments. Experiments were conduced to evaluate the proposed model which used a parallel application executing on a heterogeneous system. the obtained results show the model ability to predict the actual system performance, providing an useful model for developing and evaluating techniques for scheduling and resource allocation over heterogeneous and distributed systems.

关键词： Computation theory

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Data grid model based on structured P2P overlay network

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7th international symposium on Advanced parallel Processing Technologies

作者： Song, Wei Zhao, Yuelong Zeng, Wenying Wang, Wenfeng S China Univ Technol Sch Comp Sci & Engn Guangzhou 510640 Peoples R China

ISBN: (纸本)9783540768364

Data Grid provides integrated view of distributed data scattered across networks. Current Data Grid systems are centrally controlled. In this paper, we present a structured P2P based Data Grid model (P-DataGrid Model, PDG) which makes use of construction and routing algorithms of P-Grid a structured P2P system. PDG is organized as virtual multi-branch tree with binary tree as main body. Formal description of PDG is firstly introduced. then we discuss the realization issues of PDG such as establishment of model, data storage service, information service, etc. Among these issues, our emphasis is on joining of nodes, registration and location of replica. Furthermore, we analyze the successful probability of location. Constructing Data Grid on structured P2P overlay can bring great advantages of scalability, decentralized control and reliability.

关键词： distributed computer systems

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