An Analysis of XML Compression Efficiency

Fuente: arXiv
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Bibliographic Details
Main Authors: Augeri, Christopher James, Mullins, Barry E., Baird III, Leemon C., Bulutoglu, Dursun A., Baldwin, Rusty O.
Format: Preprint
Published: 2024
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author Augeri, Christopher James
Mullins, Barry E.
Baird III, Leemon C.
Bulutoglu, Dursun A.
Baldwin, Rusty O.
author_facet Augeri, Christopher James
Mullins, Barry E.
Baird III, Leemon C.
Bulutoglu, Dursun A.
Baldwin, Rusty O.
contents XML simplifies data exchange among heterogeneous computers, but it is notoriously verbose and has spawned the development of many XML-specific compressors and binary formats. We present an XML test corpus and a combined efficiency metric integrating compression ratio and execution speed. We use this corpus and linear regression to assess 14 general-purpose and XML-specific compressors relative to the proposed metric. We also identify key factors when selecting a compressor. Our results show XMill or WBXML may be useful in some instances, but a general-purpose compressor is often the best choice.
format Preprint
id arxiv_https___arxiv_org_abs_2410_07603
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle An Analysis of XML Compression Efficiency
Augeri, Christopher James
Mullins, Barry E.
Baird III, Leemon C.
Bulutoglu, Dursun A.
Baldwin, Rusty O.
Databases
Information Theory
Performance
E.4; H.1.1; H.3.5; I.7.2; D.2.8
XML simplifies data exchange among heterogeneous computers, but it is notoriously verbose and has spawned the development of many XML-specific compressors and binary formats. We present an XML test corpus and a combined efficiency metric integrating compression ratio and execution speed. We use this corpus and linear regression to assess 14 general-purpose and XML-specific compressors relative to the proposed metric. We also identify key factors when selecting a compressor. Our results show XMill or WBXML may be useful in some instances, but a general-purpose compressor is often the best choice.
title An Analysis of XML Compression Efficiency
topic Databases
Information Theory
Performance
E.4; H.1.1; H.3.5; I.7.2; D.2.8
url https://arxiv.org/abs/2410.07603