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dc.contributor.advisorPendse, Ravi
dc.contributor.authorDhanekula, Sriharsha
dc.descriptionThesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical Engineering and Computer Scienceen_US
dc.description.abstractDocumentation has a become part of everyday life for individuals in the corporate world. With the increase in required documentation, the size of the data is also growing, which requires maintenance and storage facilities. Due to the growth in data, metadata, data about data, has been created. Metadata helps users recover relevant data easily and is used throughout the industry. Though it may take up less space, metadata is also increasing to keep up with the needs of companies, which means additional costs are accumulating. Data can be classified into two types: active data and archived data. Active data is the data which is frequently used while archived data is the data which is used irregularly or infrequently. In order to improve database space management, this thesis proposes a mechanism where the metadata associated with low priority data is stored in a compressed format using Burrows-Wheeler’s transform compression algorithm.en_US
dc.format.extentix, 40en
dc.publisherWichita State Universityen_US
dc.rightsCopyright Sriharsha Dhanekula, 2012. All rights reserveden
dc.subject.lcshElectronic dissertationsen
dc.titleImproved storage technique for metadata management at the application levelen_US

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  • EECS Theses and Dissertations
    Collection of Master's theses and Ph.D. dissertations completed at the Dept. of Electrical Engineering and Computer Science
  • Master's Theses
    This collection includes Master's theses completed at the Wichita State University Graduate School (Fall 2005 --)

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