Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/394695
Title: An Improved Join Query Optimization Method for Distributed Databases using Multi Colony Ant Algorithm
Researcher: Anjali Soni
Guide(s): Swati. V. Chande and R. C. Bohra
Keywords: Engineering
Engineering and Technology
Engineering Manufacturing
University: Rajasthan Technical University, Kota
Completed Date: 2021
Abstract: In distributed databases, relations are scattered on multiple sites by either replicating newlinethe data or by fragmenting the data. To process any query that contains multiple relations, newlinemultiple sites may participate in finding out the solution. A query that involves multiple newlinerelations needs to join these relations first across multiple sites and this join has to be done newlinewith optimal utilization of resources in optimal time. newlineWhen a query is submitted to the database, the query optimizer generates multiple newlineQuery Execution Plans. The plan that generates the result with optimal resources in optimal newlinetime is chosen by the optimizer for execution of the query. The relations in the query are newlinejoined for obtaining these results, and the join order is the primary contributor for the efficient newlineperformance of a query optimizer. The join order problem is one of the most studied problems newlinein database query optimization. newline
Pagination: 67.4mb
URI: http://hdl.handle.net/10603/394695
Appears in Departments:Management Studies

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abstract.pdf16.52 kBAdobe PDFView/Open
acknowledgement.pdf12.32 kBAdobe PDFView/Open
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chapter 1.pdf208.6 kBAdobe PDFView/Open
chapter 2.pdf176.44 kBAdobe PDFView/Open
chapter 3.pdf258.08 kBAdobe PDFView/Open
chapter 4.pdf978.71 kBAdobe PDFView/Open
chapter 5.pdf503.25 kBAdobe PDFView/Open
chapter 6.pdf1.43 MBAdobe PDFView/Open
chapter 7.pdf51.44 kBAdobe PDFView/Open
contents.pdf19.37 kBAdobe PDFView/Open
declaration.pdf408.64 kBAdobe PDFView/Open
references.pdf35.05 MBAdobe PDFView/Open
tables & figures.pdf19.84 kBAdobe PDFView/Open
title.pdf38.22 kBAdobe PDFView/Open
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