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检索条件"任意字段=17th International Conference on Parallel and Distributed Computing Systems, PDCS 2004"

共 281 条记录，以下是51-60 订阅

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Combining Multiple Metrics to Control BSP Process Rescheduling in Response to Resource and Application Dynamics

Combining Multiple Metrics to Control BSP Process Rescheduli...

引用

17th IEEE international conference on parallel and distributed systems (ICPADS)

作者： Righi, Rodrigo da Rosa Graebin, Lucas Avila, Rafael Bohrer Alexandre Navaux, Philippe Olivier Pilla, Laercio Lima Univ Vale Rio dos Sinos Programa Interdisciplinar Posgrad Comp Aplicada BR-93022000 Sao Leopoldo RS Brazil Univ Fed Rio Grande do Sul Programa Pos Graduacao Computacao Porto Alegre RS Brazil

ISBN: (纸本)9780769545769

this article discusses MigBSP: a rescheduling model that acts on Bulk Synchronous parallel applications running over computational Grids. It combines the metrics Computation, Communication and Memory to make migration decisions. MigBSP also offers efficient adaptations to reduce its overhead. Additionally, MigBSP is infrastructure and application independent and tries to handle dynamicity on both levels. MigBSP's results show application performance improvements of up to 16% on dynamic environments while maintaining a small overhead when migrations do not take place.

关键词： Bulk Synchronous parallel rescheduling heuristic self-organizing adaptation grid computing

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An agent-based approach to support the scalability of change propagation 17

An agent-based approach to support the scalability of change...

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17th international conference on parallel and distributed computing systems

作者： Constantinescu, C Kornienko, S Kornienko, O Heinkel, U Univ Stuttgart Inst Parallel & Distributed Syst D-70569 Stuttgart Germany

ISBN: (纸本)1880843528

In this paper, we address aspects of the challenge facing the Data Integration solutions in the problem of increasing the scalability. We first overview our results in data integration and present our prototype. Searching for a motivation to employ the agent-based technology and envision how this technology can be applied to improve the system scalability represent the next step of our research. For that, we examine some formal definitions and metrics of scalability which fit the purpose of system description. the analysis of our data integration solution, a change propagation system called Champagne, identifies the system components having the most influence on the scalability problem. We propose to employ the agent-based technology to improve the scalability and perform some experiments which reveal our work.

关键词： Data integration

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Commodity Cluster-Based parallel Implementation of an Automatic Target Generation Process for Hyperspectral Image Analysis

Commodity Cluster-Based Parallel Implementation of an Automa...

引用

17th IEEE international conference on parallel and distributed systems (ICPADS)

作者： Bernabe, Sergio Plaza, Antonio Univ Extremadura Hyperspectral Comp Lab Dept Technol Comp & Commun E-10071 Caceres Spain

ISBN: (纸本)9780769545769

the development of parallel implementations is an important task for hyperspectral data exploitation. In most cases, real-time or nearly real-time processing of hyperspectral images is required for swift decisions which depend upon high computing performance of algorithm analysis. A popular algorithm in hyperspectral image interpretation is the automatic target generation process (ATGP). In this paper, we develop a new parallel version of this algorithm, which is routinely applied in many application domains, including defence and intelligence, precision agriculture, geology, or forestry. We improve considerably the computational cost of this algorithm, and also improve its detection accuracy by incorporating a new method for calculating the orthogonal projection process in which the algorithm is based using the Gram-Schmidt method. Our proposed strategy reduces the computational cost over the a previous implementation of the same algorithm which uses the pseudoinverse operation to compute the orthogonal projection. Our parallel algorithm is implemented on a multicore cluster system made up of of sixteen nodes, with two CPUs of four cores per node, and quantitatively evaluated using hyperspectral data collected by NASA's Airborne Visible Infra-Red Imaging Spectrometer (AVIRIS) over the World Trade Center (WTC) in New York and over the Cuprite mining district, Nevada, United States.

关键词： Hyperspectral imaging automatic target generation process (ATGP) cluster computing Gram-Schmidt orthogonalization

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Mercury: a Negotiation-based Resource Management System for Grids

Mercury: a Negotiation-based Resource Management System for ...

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17th IEEE international conference on parallel and distributed systems (ICPADS)

作者： Wang, Chien-Min Wang, Shao-Ting Chen, Hsi-Min Yeh, Tse-Chen Acad Sinica Inst Informat Sci Taipei Taiwan

ISBN: (纸本)9780769545769

In this paper, we present the design and implementation of a negotiation-based resource management system called Mercury. As the number of resources in Grids is increasing rapidly, selecting appropriate resources to execute tasks has become a crucial issue. the proposed system implements the Extended Contract Net Protocol (ECNP), which improves the standard bidding model by integrating a matchmaking technique. Our model addresses the issues of matchmaker overload and the lack of up-to-date resource state information in the original matchmaking model. To ensure that the system is user-friendly, we provide a web interface. By using the provided job templates, users can describe their jobs more easily, and service providers can deploy their services in the system in a simple manner. Furthermore, to improve the interoperability of the system, we adopt open standards, such as the WS-Agreement and JSDL protocols. Our experimental results demonstrate the scalability and efficiency of the system.

关键词： grid computing WS-Agreement JSDL resource management matchmaking

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A Hierarchical Memory Service Mechanism in Server Consolidation Environment

A Hierarchical Memory Service Mechanism in Server Consolidat...

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17th IEEE international conference on parallel and distributed systems (ICPADS)

作者： Wang, Liufeng Wang, Huaimin Cai, Lu Chu, Rui Zhang, Pengfei Liu, Lanzheng Natl Univ Def Technol Natl Key Lab Parallel & Distributed Proc Changsha Hunan Peoples R China Univ Xian Sch Econ & Management Xian Peoples R China

ISBN: (纸本)9780769545769

Increasing Internet business and computing footprint motivate server consolidation in data centers. through virtualization technology, server consolidation can reduce physical hosts and provide scalable services. However, the ineffective memory usage among multiple virtual machines (VMs) becomes the bottleneck in server consolidation environment. Because of inaccurate memory usage estimate and the lack of memory resource managements, there is much service performance degradation in data centers, even though they have occupied a large amount of memory. In order to improve this scenario, we first introduce VM's memory division view and VM's free memory division view. Based on them, we propose a hierarchal memory service mechanism. We have designed and implemented the corresponding memory scheduling algorithm to enhance memory efficiency and achieve service level agreement. the benchmark test results show that our implementation can save 30% physical memory with 1% to 5% performance degradation. Based on Xen virtualization platform and balloon driver technology, our works actually bring dramatic benefits to commercial cloud computing center which is providing more than 2,000 VMs' services to cloud computing users.

关键词： Memory Scheduling Hierarchical Service Server Consolidation Iaas Cloud computing

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Improving Speculative Execution Performance with Coworker for Cloud computing

Improving Speculative Execution Performance with Coworker fo...

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17th IEEE international conference on parallel and distributed systems (ICPADS)

作者： Huang, Sheng-Wei Huang, Tzu-Chi Lyu, Syue-Ru Shieh, Ce-Kuen Chou, Yi-Sheng Natl Cheng Kung Univ Inst Comp & Commun Engn Dept Elect Engn Tainan 70101 Taiwan Lunghwa Univ Sci & Technol Dept Elect Engn Taoyuan Taiwan

ISBN: (纸本)9780769545769

MapReduce is an important programming model for large-scale parallel applications. It divides a job into several parallel tasks and completes the job by sequential phases, i.e. map phase and reduce phase. the job completion time will be delayed when a task, called straggler, consumes more time than others. the main reason that a straggler occurs is the imbalance resource distribution among computing nodes in the cloud. Speculative execution is a solution for dealing with stragglers. Duplicate tasks are launched on other nodes to process the same data as the straggler does. Any completion of these tasks implies that this task is finished and other duplicate tasks can be aborted. However, aborting tasks misspends resources. In this paper, we propose an idea of using coworkers to help a straggler. According to the processing rate of the straggler and the coworker, the amount of data parceled out from the straggler to the coworker should be determined. Different from speculative execution, coworkers finish tasks with stragglers and do not misspend computing resources. Experimental results show that coworkers can reduce the task completion time by 37% and the network traffic by 64% when comparing with speculative execution.

关键词： Cloud computing MapReduce Straggler Speculative execution Coworker

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Increased scheduling quality by utilizing the flexibility of malleable jobs 17

Increased scheduling quality by utilizing the flexibility of...

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17th international conference on parallel and distributed computing systems

作者： Hungershöfer, J Paderborn Ctr Parallel Comp D-33102 Paderborn Germany

ISBN: (纸本)1880843528

To accomplish both, the demand of the users of parallel systems for a low response time and the ambition of the system maintainers for a high utilization, is hard to do. A high utilization normally results in long waiting times for the users' jobs. An alternative to the standard jobs with fixed width are more flexible jobs models. they allow to change the job's width at application start (moldable jobs) or even during execution (malleable jobs). We have analyzed the quality of schedules using job sets with moldable and malleable jobs and combinations of both. Tracefiles from supercomputer installations have been modified to contain varying fractions of moldable and malleable jobs. Using a special simulation environment for the more flexible job models the jobs have been scheduled virtually. the results show that using this job models both interest groups mentioned above can be pleased.

关键词： Supercomputers

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StreamMR: An Optimized MapReduce Framework for AMD GPUs

StreamMR: An Optimized MapReduce Framework for AMD GPUs

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17th IEEE international conference on parallel and distributed systems (ICPADS)

作者： Elteir, Marwa Lin, Heshan Feng, Wu-chun Scogland, Tom City of Scientific Researches and Technology Applications Egypt Department of Computer Science Virginia Tech. United States

ISBN: (纸本)9780769545769

MapReduce is a programming model from Google that facilitates parallel processing on a cluster of thousands of commodity computers. the success of MapReduce in cluster environments has motivated several studies of implementing MapReduce on a graphics processing unit (GPU), but generally focusing on the NVIDIA GPU. Our investigation reveals that the design and mapping of the MapReduce framework needs to be revisited for AMD GPUs due to their notable architectural differences from NVIDIA GPUs. For instance, current state-of-the-art MapReduce implementations employ atomic operations to coordinate the execution of different threads. However, atomic operations can implicitly cause inefficient memory access, and in turn, severely impact performance. In this paper, we propose StreamMR, an OpenCL MapReduce framework optimized for AMD GPUs. With efficient atomic-free algorithms for output handling and intermediate result shuffling, StreamMR is superior to atomic-based MapReduce designs and can outperform existing atomic-free MapReduce implementations by nearly five-fold on an AMD Radeon HD 5870.

关键词： atomics parallel computing AMD GPU GPGPU MapReduce Mars MapCG OpenCL

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A semantic decentralized Chord-based resource discovery model for Grid computing

A semantic decentralized Chord-based resource discovery mode...

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17th IEEE international conference on parallel and distributed systems (ICPADS)

作者： Shaikh, Abdul Khalique Alhashmi, Saadat M. Parthiban, Rajendran Monash Univ Sch IT Sunway Campus Bandar Sunway Malaysia Monash Univ Sch Engn Bandar Sunway Malaysia

ISBN: (纸本)9780769545769

Grid computing aggregates distributed computing resources to execute computationally complex jobs. the selection of resources in a Grid system involves finding and locating resources based on users' requirements. Identifying an appropriate resource selection mechanism for Grid jobs is a major concern because a suitable mechanism helps to schedule and allocate resources better. the resource discovery techniques proposed over the years can be categorized into three major types-centralized, hierarchical and decentralized. the performance of each type can be measured in terms of scalability, load balancing and fault tolerance. the resource discovery based on centralized and hierarchical techniques is recommended for small and medium size Grids. Due to limitations such as poor scalability and single point of failure in centralized and hierarchical approaches, a decentralized resource discovery is usually preferred for large size Grids. Lack of coordination between users and providers in a highly decentralized heterogeneous Grid environment often results in user jobs failing in finding relevant resources. One of the reasons for rejection of jobs is the usage of fixed schema between users request and providers availability which causes high possibility of missing relevant resources. We present a semantic decentralized resource discovery model by using P2P Chord protocol to improve job success probability and to enhance utilization of resources. Preliminary simulations carried out using GridSim and PlanetSim simulators show improved success probability for complex jobs and also show promising results with enhanced utilization of resources.

关键词： Grid computing Resource Discovery Semantic Chord Protocol GridSim PlanetSim Decentralized

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Supporting ad hoc collaborations in peer-to-peer networks 17

Supporting ad hoc collaborations in peer-to-peer networks

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17th international conference on parallel and distributed computing systems

作者： Bhana, I Johnson, D Alexandrov, N Univ Reading Sch Syst Engn Adv Comp & Emerging Technol Ctr Reading RG6 6AY Berks England

ISBN: (纸本)1880843528

Traditionally, applications and tools supporting collaborative computing have been designed only with personal computers in mind and support a limited range of computing and network platforms. these applications are therefore not well equipped to deal with network heterogeneity and, in particular, do not cope well with dynamic network topologies. Progress in this area must be made if we are to fulfil the needs of users and support the diversity, mobility, and portability that are likely to characterise group work in future. this paper describes a groupware platform called Coco that is designed to support collaboration in a heterogeneous network environment. the work demonstrates that progress in the p development of a generic supporting groupware is achievable, even in the context of heterogeneous and dynamic networks. the work demonstrates the progress made in the development of an underlying communications infrastructure, building on peer-to-peer concept and topologies to improve scalability and robustness.

关键词： peer-to-peer collaborative computing Java XML JXTA Coco

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