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Performance Analysis of Parallel Database Sort Operations in a Heterogenous Grid Environment

机译:并行数据库中的性能分析在异构网格环境中的平行分类操作

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In this paper an analytical comparison of the performance behavior of parallel flavors of the well-known Binary Merge Sort and Bitonic Sort algorithm in a Grid environment is presented. To keep the analysis clear and focused we concentrate on a limited number of characteristic parameters and develop a concise but comprehensive analytical model both for a generalized multiprocessor framework and a simplified heterogenous Grid Environment. We justify that a meaningful model can be built upon only three characteristic parameter sets, describing node processing performance, the I/O and the disk bandwidth, which are the parameters for the optimization the Grid workflow by a smart brokerage mechanism. Based on these results the paper proves that by a smart enhancement of the algorithms exploiting the specifics of the Grid the well-known results of Bitton et al. for a homogenous multi-processor architecture are invalidated and reversed for a heterogenous Grid environment.
机译:本文介绍了众所周知的二进制合并排序和BITONIC分类算法的并行口味的性能行为的分析比较。为了保持分析清除和聚焦我们专注于有限数量的特征参数,并开发一个简洁但综合的分析模型,用于广义多处理器框架和简化的异构网格环境。我们证明了一个有意义的模型,只能在三个特征参数集中构建,描述节点处理性能,I / O和磁盘带宽,这是通过智能经纪机制优化网格工作流的参数。根据这些结果,本文证明,通过智能增强算法利用网格的细节,众所周知的Bitton等人的结果。对于均匀的多处理器架构无效并向异地网格环境逆转。

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