Gcube Indexing
M.Laxmaiah (1), A.Govardhan (2) ((1) Tirumala Engineering College,, Keesara (M), Hyderabad, AP, India (2) School of Information Technology,, Jawaharlal Nehru Technological University, Hyderabad, AP, India)
TL;DR
This paper introduces GCUBE, a novel spatial data storage and indexing method that enhances query performance in spatial OLAP systems by efficiently aggregating and managing continuous spatial data.
Contribution
The paper presents the GCUBE indexing technique, specifically designed for spatial OLAP, improving data aggregation, storage, and query efficiency over existing methods.
Findings
GCUBE significantly reduces query response time.
The approach improves data aggregation accuracy.
Performance gains are validated on synthetic and real datasets.
Abstract
Spatial Online Analytical Processing System involves the non-categorical attribute information also whereas standard Online Analytical Processing System deals with only categorical attributes. Providing spatial information to the data warehouse (DW); two major challenges faced are;1.Defining and Aggregation of Spatial/Continues values and 2.Representation, indexing, updating and efficient query processing. In this paper, we present GCUBE(Geographical Cube) storage and indexing procedure to aggregate the spatial information/Continuous values. We employed the proposed approach storing and indexing using synthetic and real data sets and evaluated its build, update and Query time. It is observed that the proposed procedure offers significant performance advantage.
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