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Skipnet-Octree Based Indexing Technique for Cloud Database Management System

Author

Listed:
  • Shweta Malhotra

    (Jamia Millia Islamia University, New Delhi, India)

  • Mohammad Najmud Doja

    (Department of Computer Engineering, Faculty of Engineering and Technology, Jamia Millia Islamia University, New Delhi, India)

  • Bashir Alam

    (Department of Computer Engineering, Faculty of Engineering and Technology, Jamia Millia Islamia University, New Delhi, India)

  • Mansaf Alam

    (Big Data and Cloud Computing Laboratory, Department of Computer Science, Jamia Millia Islamia University, New Delhi, India)

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.

Suggested Citation

  • Shweta Malhotra & Mohammad Najmud Doja & Bashir Alam & Mansaf Alam, 2018. "Skipnet-Octree Based Indexing Technique for Cloud Database Management System," International Journal of Information Technology and Web Engineering (IJITWE), IGI Global, vol. 13(3), pages 1-13, July.
    • Handle: RePEc:igg:jitwe0:v:13:y:2018:i:3:p:1-13
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