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Skipnet-Octree Based Indexing Technique for Cloud Database Management System

Skipnet-Octree Based Indexing Technique for Cloud Database Management System

Shweta Malhotra, Mohammad Najmud Doja, Bashir Alam, Mansaf Alam
Copyright: © 2018 |Volume: 13 |Issue: 3 |Pages: 13
ISSN: 1554-1045|EISSN: 1554-1053|EISBN13: 9781522542964|DOI: 10.4018/IJITWE.2018070101
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MLA

Malhotra, Shweta, et al. "Skipnet-Octree Based Indexing Technique for Cloud Database Management System." IJITWE vol.13, no.3 2018: pp.1-13. http://doi.org/10.4018/IJITWE.2018070101

APA

Malhotra, S., Doja, M. N., Alam, B., & Alam, M. (2018). Skipnet-Octree Based Indexing Technique for Cloud Database Management System. International Journal of Information Technology and Web Engineering (IJITWE), 13(3), 1-13. http://doi.org/10.4018/IJITWE.2018070101

Chicago

Malhotra, Shweta, et al. "Skipnet-Octree Based Indexing Technique for Cloud Database Management System," International Journal of Information Technology and Web Engineering (IJITWE) 13, no.3: 1-13. http://doi.org/10.4018/IJITWE.2018070101

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Abstract

This article describes how data indexing plays a very crucial role in query processing. Systems based on traditional indexes like B-tree, R-tree, Bitmap, inverted indexing techniques are not suitable for efficient query evaluation as these systems are based on simple key-value pair and used only for point queries. In cloud data repositories, point queries are not sufficient for query as a cloud consists of multidimensional data. For multidimensional query processing, many techniques have been developed. In this article, a dynamic double layer indexing structure with the help of a Skipnet overlay for global indexing and an Octree index technique for local indexing has been proposed. It has been concluded from the experiments that Skipnet-Octree performs better than the previous double-layer indexing technique for complex queries.

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