Geomancy: Automated Performance Enhancement through Data Layout Optimization
2020 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)(2020)
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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