Trends in retrieval system performance

J. Zobel, H. Williams, Sam Kimberley
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引用次数: 10

Abstract

Computer technology is continually developing, with ongoing rapid improvements in processor speed and disk capacity. At the same time, demands on retrieval systems are increasing, with, in applications such as World-Wide Web search engines, growth in data volumes outstripping gains in hardware performance. We experimentally explore the relationship between hardware and data volumes using a new framework designed for retrieval systems. We show that changes in performance depend entirely on the application: in some cases, even with large increases in data volume, the faster hardware allows improvements in response time; but in other cases, performance degrades far more than either raw hardware statistics or speed on processor-bound tasks would suggest. Overall, it appears that seek times rather than processor limitations are a crucial bottleneck and there is little likelihood of reductions in retrieval system response time without improvements in disk performance.
检索系统性能的趋势
随着处理器速度和磁盘容量的不断提高,计算机技术在不断发展。同时,对检索系统的需求也在增加,在诸如万维网搜索引擎这样的应用程序中,数据量的增长超过了硬件性能的提高。我们通过实验探索了硬件和数据量之间的关系,使用了一个为检索系统设计的新框架。我们表明,性能的变化完全取决于应用程序:在某些情况下,即使数据量大幅增加,更快的硬件也可以改善响应时间;但在其他情况下,性能的下降远远超过原始硬件统计数据或处理器绑定任务的速度所显示的结果。总的来说,似乎查找时间而不是处理器限制是关键的瓶颈,如果不提高磁盘性能,几乎不可能减少检索系统响应时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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