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QRFXFreeze: Queryable Compressor for RFX.

Radha Senthilkumar1, Gomathi Nandagopal2, Daphne Ronald1

  • 1Department of Information Technology, Anna University, MIT Campus, Chennai, Tamil Nadu 600044, India.

Thescientificworldjournal
|June 12, 2015
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Summary

We introduce QRFXFreeze, a novel XML compressor that significantly reduces storage space while enabling efficient querying without decompression. This method semantically compresses and indexes data for faster access.

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Area of Science:

  • Computer Science
  • Data Compression
  • Database Systems

Background:

  • XML's verbose nature necessitates efficient compression techniques.
  • Existing XML compression methods often require decompression for querying or compromise storage efficiency for query performance.

Purpose of the Study:

  • To propose QRFXFreeze, a novel compressor for XML data.
  • To achieve both significant space reduction and efficient querying capabilities without decompressing the data.

Main Methods:

  • Semantic compression of textual data within XML documents.
  • Indexing of compressed textual data to facilitate rapid querying.
  • Support for insert, update, and delete operations on compressed XML files.

Main Results:

  • QRFXFreeze reduces storage space for XML data.
  • Efficient querying is supported directly on the compressed format.
  • Experimental results demonstrate superior performance compared to existing compressors.

Conclusions:

  • QRFXFreeze offers an effective solution for XML data compression and querying.
  • The semantic compression and indexing approach enhances query performance and reduces storage.
  • The compressor supports a full range of database operations on compressed XML.