Artigo Acesso aberto

XMill

2000; Association for Computing Machinery; Volume: 29; Issue: 2 Linguagem: Inglês

10.1145/335191.335405

ISSN

1943-5835

Autores

Hartmut Liefke, Dan Suciu,

Tópico(s)

Parallel Computing and Optimization Techniques

Resumo

We describe a tool for compressing XML data, with applications in data exchange and archiving, which usually achieves about twice the compression ratio of gzip at roughly the same speed. The compressor, called XMill, incorporates and combines existing compressors in order to apply them to heterogeneous XML data: it uses zlib, the library function for gzip, a collection of datatype specific compressors for simple data types, and, possibly, user defined compressors for application specific data types.

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