GLIP: A Concurrency Control Protocol for Clipping Indexing

  IJCOT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© July to Aug Issue 2011 by IJCTT Journal
Volume-1 Issue-3                           
Year of Publication : 2011
Authors : J.RAMESH,N.SWATHI,R.LAKSHMI TULASI.

MLA

J.RAMESH,N.SWATHI,R.LAKSHMI TULASI. GLIP: A Concurrency Control Protocol for Clipping Indexing"International Journal of Computer Trends and Technology (IJCTT),V1(3):316-320 July to Aug Issue 2011 .ISSN 2231-2803.www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract: — - The project Concurrency Control Protocol for Clipping Indexing deals with the multidimensional databases. In multidimensional indexing trees, the overlapping of nodes will tend to degrade query performance, as one single point query may need to traverse multiple branches of the tree if the query point is in an overlapped area. Multidimensional databases are beginning to be used in a wide range of applications. To meet this fast-growing demand, the R-tree family is being applied to support fast access to multidimensional data, for which the R+-tree exhibits outstanding search performance. In order to support efficient concurrent access in multiuser environments, concurrency control mechanisms for multidimensional indexing have been proposed. However, these mechanisms cannot be directly applied to the R+-tree because an object in the R+-tree may be indexed in multiple leaves. This paper proposes a concurrency control protocol for R-tree variants with object clipping, namely, Granular Locking for clipping indexing (GLIP). GLIP is the first concurrency control approach specifically designed for the R+-tree and its variants, and it supports efficient concurrent operations with serializable isolation, consistency, and deadlock-free. Experimental tests on both real and synthetic data sets validated the effectiveness and efficiency of the proposed concurrent access framework.

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KeywordsConcurrency, indexing methods, spatial databases.