An Analysis of XML Compression Efficiency
<|reference_start|>An Analysis of XML Compression Efficiency: 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.<|reference_end|>
@article{augeri2024an,
    title={An Analysis of XML Compression Efficiency},
    author={Christopher James Augeri, Barry E. Mullins, Leemon C. Baird III,
  Dursun A. Bulutoglu, Rusty O. Baldwin},
    journal={Proceedings of the 2007 workshop on Experimental Computer Science
  (ExpCS) at ACM FCRC 2007},
    year={2024},
    doi={10.1145/1281700.1281707},
    archivePrefix={arXiv},
    eprint={2410.07603},
    primaryClass={cs.DB cs.IT cs.PF math.IT}
}