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.
analysis xml compression efficiency data exchange heterogeneity computation developer binary format test corpus metrication use linear regression factor select relation general