Document Zbl 1102.68478

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Zhejiang Univ., Sci. A</a> <a href="/?q=in%3A187320" title="Articles in this Issue">7, No. 10, 1642-1651 (2006)</a>. </div> <div class="abstract">Summary: Compression is an intuitive way to boost the performance of a database system. However, compared with other physical database design techniques, compression consumes large amount of CPU power. There is a trade-off between the reduction of disk access and the overhead of CPU processing. Automatic design and adaptive administration of database systems are widely demanded, and the automatic selection of compression schema to compromise the trade-off is very important. In this paper, we present a model with novel techniques to integrate a rapidly convergent agent-based evolution framework, i.e. the SWAF (SWarm Algorithm Framework), into adaptive attribute compression for relational database. The model evolutionally consults statistics of CPU load and IO bandwidth to select compression schemas considering both aspects of the trade-off. We have implemented a prototype model on Oscar RDBMS with experiments highlighting the correctness and efficiency of our techniques.</div> <div class="clear"></div> <br> <div class="citations"><div class="clear"><a href="/?q=rf%3A5080418">Cited in <strong>1</strong> Document</a></div></div> <div class="classification"> <h3>MSC:</h3> <table><tr> <td> <a class="mono" href="/classification/?q=cc%3A68P30" title="MSC2020">68P30</a> </td> <td class="space"> Coding and information theory (compaction, compression, models of communication, encoding schemes, etc.) (aspects in computer science) </td> </tr></table> </div><div class="keywords"> <h3>Keywords:</h3><a href="/?q=ut%3ADatabase+compression">Database compression</a>; <a href="/?q=ut%3AAutomatic+physical+database+design">Automatic physical database design</a>; <a href="/?q=ut%3ASwarm+evolution">Swarm evolution</a></div> <div class="software"> <h3>Software:</h3><a href="/software/15847">Oracle</a>; <a href="/software/15937">DB2</a>; <a href="/software/15848">MS SQL Server</a></div>  <div class="modal fade" id="metadataModal" tabindex="-1" role="dialog" aria-labelledby="myModalLabel"> <div class="modal-dialog" role="document"> <div class="modal-content"> <div class="modal-header"> <button type="button" class="close" data-dismiss="modal" aria-label="Close"><span aria-hidden="true">×</span></button> <h4 class="modal-title" id="myModalLabel">Cite</h4> </div> <div class="modal-body"> <div class="form-group"> <label for="select-output" class="control-label">Format</label> <select id="select-output" class="form-control" aria-label="Select Metadata format"></select> </div> <div class="form-group"> <label for="metadataText" class="control-label">Result</label> <textarea class="form-control" id="metadataText" rows="10" style="min-width: 100%;max-width: 100%"></textarea> </div> <div id="metadata-alert" class="alert alert-danger" role="alert" style="display: none;">  </div> </div> <div class="modal-footer"> <button type="button" class="btn btn-primary" onclick="copyMetadata()">Copy to clipboard</button> <button type="button" class="btn btn-default" data-dismiss="modal">Close</button> </div> </div> </div> </div> <div class="functions clearfix"> <div class="function">  <a type="button" class="btn btn-default btn-xs pdf" data-toggle="modal" data-target="#metadataModal" data-itemtype="Zbl" data-itemname="Zbl 1102.68478" data-ciurl="/ci/05080418" data-biburl="/bibtex/05080418.bib" data-amsurl="/amsrefs/05080418.bib" data-xmlurl="/xml/05080418.xml" > Cite </a> <a class="btn btn-default btn-xs pdf" data-container="body" type="button" href="/pdf/05080418.pdf" title="Zbl 1102.68478 as PDF">Review PDF</a> </div> <div class="fulltexts"> <span class="fulltext">Full Text:</span> <a class="btn btn-default btn-xs" type="button" href="https://doi.org/10.1631/jzus.2006.A1642" aria-label="DOI for “Automatic relational database compression scheme design based on swarm evolution”" title="10.1631/jzus.2006.A1642">DOI</a> </div> <div class="sfx" style="float: right;"> </div> </div> <div class="references"> <h3>References:</h3> <table><tr> <td>[1]</td> <td class="space">Agrawal, S.; Chaudhuri, S.; Narasayya, V., Automated Selection of Materialized Views and Indexes for SQL Databases, 496-505 (2000), Cairo</td> </tr><tr> <td>[2]</td> <td class="space">Agrawal, S.; Chaudhuri, S.; Das, A.; Narasayya, V., Automating Layout of Relational Databases, 607-618 (2003), Bangalore</td> </tr><tr> <td>[3]</td> <td class="space">Agrawal, S.; Chaudhuri, S.; Kollar, L.; Marathe, A.; Narasayya, V.; Syamala, M., Database Tuning Advisor for Microsoft SQL Server 2005, 1110-1121 (2004), Toronto</td> </tr><tr> <td>[4]</td> <td class="space">Agrawal, S.; Narasayya, V.; Yang, B., Integrating Vertical and Horizontal Partitioning into Automated Physical Database Design, 359-370 (2004), Paris</td> </tr><tr> <td>[5]</td> <td class="space">Bäck, T., 1997. 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