An Analysis of XML Compression Efficiency

Authors

Christopher J. Augeri, Air Force Institute of Technology
Barry E. Mullins, Air Force Institute of TechnologyFollow
Leemon C. Baird III, United States Air Force Academy
Dursun A. Bulutoglu, Air Force Institute of TechnologyFollow
Rusty O. Baldwin, Air Force Institute of Technology

Document Type

Article

Publication Date

10-10-2024

Abstract

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.

ACM classes: E.4 ; H.1.1

Comments

The "Link to Full Text" on this page opens or saves the PDF of the paper, hosted in the arXiv.org e-print repository. "cs.DB" refers to the Databases collection in arXiv.

DOI

arXiv:2410.07603

Source Publication

arXiv.org [cs.DB]

Recommended Citation

Augeri, C. J., Mullins, B. E., III, L. C. B., Bulutoglu, D. A., & Baldwin, R. O. (2024). An Analysis of XML Compression Efficiency (No. arXiv:2410.07603). arXiv. https://doi.org/10.48550/arXiv.2410.07603

arXiv:2410.07603 [cs.DB]