Geomancy: Automated Performance Enhancement through Data Layout Optimization

2020 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)(2020)

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摘要
The size and complexity of large storage systems, such as high-performance computing (HPC) systems, inhibit rapid effective restructuring of data layouts to maintain performance as workloads shift. To address this issue, we have developed Geomancy, a tool that models the placement of data within a distributed storage system and reacts to drops in performance. Our approach to optimizing throughput offers benefits for storage systems such as avoiding potential bottlenecks and increasing overall I/O throughput from 11% to 30%.
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关键词
Geomancy,automated performance enhancement,optimizing throughput,distributed storage system,workloads shift,data layouts,rapid effective restructuring,HPC,high-performance computing systems,storage systems,data layout optimization
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