@misc{citeulike:955,
title = {Scalable XSLT Evaluation},
author = {Zhimao Guo and Min Li and Xiaoling Wang and Aoying Zhou},
month = {August},
url = {http://arxiv.org/abs/cs.DB/0408051},
year = {2004},
description = {citeulike},
abstract = {XSLT is an increasingly popular language for processing XML data. It is
widely supported by application platform software. However, little optimization
effort has been made inside the current XSLT processing engines. Evaluating a
very simple XSLT program on a large XML document with a simple schema may
result in extensive usage of memory. In this paper, we present a novel notion
of \emph{Streaming Processing Model} (\emph{SPM}) to evaluate a subset of XSLT
programs on XML documents, especially large ones. With SPM, an XSLT processor
can transform an XML source document to other formats without extra memory
buffers required. Therefore, our approach can not only tackle large source
documents, but also produce large results. We demonstrate with a performance
study the advantages of the SPM approach. Experimental results clearly confirm
that SPM improves XSLT evaluation typically 2 to 10 times better than the
existing approaches. Moreover, the SPM approach also features high scalability.},
eprint = {cs.DB/0408051}, citeulike-article-id = {955},
keywords = {evaluation xslt }
}
::