Performance and Scalability of XML Query Processing

G. Hains, M. Alrammal
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Abstract

This paper discusses basic issues about the performance of semi-structured query processing in very large data sets. It is based on recent algorithm-engineering work, on the state of the art in performance management for XML query processing and on theoretical studies about the complexity structure of the querying problem. Its main conclusions provide a concrete view on the interaction between terabyte scale XML data, query complexity and current or future computer architectures. To provide a concrete and synthetic view of this diverse body of knowledge, the presentation follows a fictional use case whose characters face query problems of varying complexity that are set in multiple contexts and analyzed today before being projected to 2020 and 2030.
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XML查询处理的性能和可伸缩性
本文讨论了超大数据集半结构化查询处理性能的基本问题。它是基于最近的算法工程工作、XML查询处理的性能管理的最新技术以及关于查询问题的复杂性结构的理论研究。它的主要结论为tb规模的XML数据、查询复杂性和当前或未来的计算机体系结构之间的交互提供了一个具体的视图。为了对这一多样化的知识体系提供一个具体而综合的观点,该演示遵循了一个虚构的用例,其中角色面临不同复杂性的查询问题,这些问题被设置在多种环境中,并在预测到2020年和2030年之前进行了分析。
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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