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    Please use this identifier to cite or link to this item: http://140.128.103.80:8080/handle/310901/22295


    Title: Visuel: A novel performance monitoring and analysis toolkit for cluster and grid environments
    Authors: Li, K.-C.?,?Cheng, H.-Y.,?Yang, C.-T.,?Hsu, C.-H.?,?Wang, H.-H.,?Hsu, C.-W.,?Hung, S.-S.,?Chang, C.-F.,?Liu, C.-C.,?Pan, Y.-H.
    Contributors: Department of Computer Science, Tunghai University
    Keywords: Distributed Computing;Monitoring;MPI Parallel Program;Performance Visualization
    Date: 2005-10-02
    Issue Date: 2013-05-15T09:15:18Z (UTC)
    Publisher: Melbourne; Australia
    Abstract: The computing power provided by high performance low-cost PC-based Cluster and Grid platforms are attractive, and they are equal or superior to supercomputers and mainframes widely available. In this research paper, we present the design rationale and implementation of Visuel, a toolkit for performance measurement and analysis of MPI parallel programs and real time resources monitoring in cluster and grid computing environments. The proposed toolkit is web-based interface to show performance activities of all computing nodes involved in the execution of a MPI parallel program, such as CPU and memory usage levels of each computing node, and monitors all computing nodes of a computing platform by displaying real time performance data. In addition, this toolkit is able to display comparative performance data charts of multiple executions of MPI parallel application under investigation, which facilitates the "what-if" analysis. The usage of this toolkit shows that it outperforms in easing the process of investigation of parallel applications. ? Springer-Verlag Berlin Heidelberg 2005.
    Relation: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 3719 LNCS , pp. 315-325
    Appears in Collections:[資訊工程學系所] 會議論文

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