International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 117

Research Paper | Computer Science & Engineering | India | Volume 4 Issue 5, May 2015


Optimization for a Distributed Query

Parminder Kaur [11]


Abstract: Distributed databases are the outcomes of top notch technology advances, high speed computer networks further facilitated its growth and its suitability in satisfying various businesses needs make it more popular. The major area of proposed work is query optimization in distributed database systems. The objective of query optimization is to execute the query with minimum cost. In order to perform join operation, two sub queries involving data from multiple sites has to be transmitted from one site to other. As data resides at different sites in a distributed database environment, so to acquire a specific type of data, subdivision of a query into its sub-parts (sub-queries) is required and those sub-queries needs to be executed at different data sites. In some cases combination of data from two or more different sites may be required. To attain this goal a join operator is used. But using join is not always advantageous in terms of cost as it may sometimes result in more communication cost in cases when complete relation is not desired for join operation. In such scenario communication cost involved between two sites can be reduced using other forms of joins like inner join. Inner join is also not always useful. So a need of finding the appropriate strategy to decide and assign join operations arises.


Keywords: Query, distributed database, network, cost, manipulation


Edition: Volume 4 Issue 5, May 2015,


Pages: 3109 - 3112


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How to Cite this Article?

Parminder Kaur, "Optimization for a Distributed Query", International Journal of Science and Research (IJSR), Volume 4 Issue 5, May 2015, pp. 3109-3112, https://www.ijsr.net/get_abstract.php?paper_id=SUB154988

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