Journal Published Online: 26 February 2019
Volume 47, Issue 6

RETRACTED: Spatial Data Indexing and Query Processing in GeoCloud

CODEN: JTEVAB

Abstract

Following an investigation undertaken by the publisher, we have determined that this paper was accepted on the basis of a compromised peer review process. We hereby retract the paper. The corresponding author has been notified of the retraction. The retraction statement can be found here: https://doi.org/10.1520/JTE20259998. GeoCloud is essential for spatial data management. This article depicts GeoCloud and SpatialHadoop, both of which are developed for spatial information, indexing, and query processing. It contains traditional spatial indexing that comprises R-tree, Hilbert R-tree, and improved Bloom filter tree. We enhance the query search by utilizing Spatial Join, Range Query, k-nearest neighbor (k-NN), and Max k-NN queries. By doing so, we implement the data structures and query evaluation performance of different spatial datasets in GeoCloud instances with SpatialHadoop. We show that our proposed system is more efficient in terms of data storage and retrieval in GeoCloud.

Author Information

Shankar, Karthi
School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India
Sevugan, Prabu
School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India
Pages: 15
Price: $25.00
Related
Reprints and Permissions
Reprints and copyright permissions can be requested through the
Copyright Clearance Center
Details
Stock #: JTE20180502
ISSN: 0090-3973
DOI: 10.1520/JTE20180502